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Ahmad U, Khan A, Saeid AB. Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards. Soft comput 2023:1-24. [PMID: 37362269 PMCID: PMC10187956 DOI: 10.1007/s00500-023-08154-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2023] [Indexed: 06/28/2023]
Abstract
Practical group decision-making (DM) problems frequently involve challenging circumstances when attempting to assign appropriate values to the data because of the haziness and uncertainty of the surrounding circumstances. In order to address the ambiguity and imprecision that arise in DM issues, q-rung picture fuzzy sets (q-RPFSs) have a more broader structure. In this research, the criteria importance through intercriteria correlation (CRITIC) and the decision-making trial and evaluation laboratory (DEMATEL) techniques are separately integrated with the multi-attributive border approximation area comparison (MABAC) method. The MABAC method, which measures how far each alternative is from the border approximation area, is very stable and useful for resolving real-world problems. The CRITIC technique calculates the criteria weights by taking into account the relationships between attributes, and the DEMATEL methodology is recognized as the best method for determining how several criteria or factors interact with one another. As a result of these justifications, we made the decision to create the CRITIC-MABAC and DEMATEL-MABAC procedures for q-RPFSs. By using the suggested strategies, the primary goal of this article is to determine the occupational risk that has the greatest impact on the health of a hospital's medical staff. We begin by employing the CRITIC technique to determine the criteria weights. In addition, we calculate the weights of the criteria using the DEMATEL approach. The offered methodologies are investigated for their applicability to determine the most serious occupational hazard for hospital employees. We conducted a comparison with three earlier studies to verify the accuracy of the tactics that are offered.
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Affiliation(s)
- Uzma Ahmad
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Ayesha Khan
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Arsham Borumand Saeid
- Department of Pure Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
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2
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Peng X, Huang HH, Luo Z. Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry. Appl Soft Comput 2023. [DOI: 10.1016/j.asoc.2023.110115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
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3
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Li J, Chen M, Pei S. Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM. Artif Intell Rev 2023; 56:1-54. [PMID: 36686597 PMCID: PMC9846711 DOI: 10.1007/s10462-022-10376-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
In this paper, we establish a novel q-rung orthopair fuzzy (q-ROF) multi-attribute decision making (MADM) model on the basis of the proposed q-ROF interactive Hamacher weighted adjustable power average (q-ROFIHWAPA) and q-ROF interactive Hamacher weighted coordinated Heronian means (HMs), which (1) can reflect the correlations among multiple attributes; (2) weakens the impacts of the extreme evaluation values more reasonably; (3) considers the interactions between the membership degree (MD) and non-membership degree (N-MD) of different q-ROF numbers (q-ROFNs); (4) has the characteristic of generality (It can generate different methods by different operations). Firstly, the q-ROF interactive Hamacher operations, improved score function and new q-ROF entropy (q-ROFE) formula, which are the necessary raw materials for the implementation of MADM, are presented. Secondly, we introduce the adjustable power average (APA) and its weight form (WAPA) to remedy the deficiencies of the classical power averages (PAs). Afterwards we extend the WAPA to q-ROF circumstance and propose the q-ROF interactive Hamacher WAPA (q-ROFIHWAPA), and its basic properties are analyzed. Further, the entropy weight fitting method is presented to determine the parameter carried by the q-ROFIHWAPA. Thirdly, inspired by the evolutionary process of Bonferroni means (BMs), we define the weighted coordinated HM (WCHM) and weighted geometric coordinated HM (WGCHM) based on the traditional HMs, respectively, which eliminate the redundancy of the dual generalized weighted BM (DGWBM) and dual generalized weighted Bonferroni geometric mean (DGWBGM), i.e., the case ofτ 1 > τ 2 > ⋯ > τ n . Then we develop the q-ROF interactive Hamacher WCHM (q-ROFIHWCHM) and q-ROF interactive Hamacher WGCHM (q-ROFIHWGCHM) by combining them with the q-ROF interactive Hamacher operations, and the common properties and special cases are also investigated. Finally, we create a MADM algorithm relied on the q-ROFIHWAPA and q-ROFIHWCHM (resp. q-ROFIHWGCHM), and a practical example is introduced to illustrate the effectiveness and superiority of the proposed method.
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Affiliation(s)
- Jinjun Li
- School of Mathematical Sciences, Dalian University of Technology, Dalian, 116024 Liaoning China
| | - Minghao Chen
- School of Mathematical Sciences, Dalian University of Technology, Dalian, 116024 Liaoning China
| | - Shibing Pei
- School of Mathematical Sciences, Dalian University of Technology, Dalian, 116024 Liaoning China
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4
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Simić V, Milovanović B, Pantelić S, Pamučar D, Babaee Tirkolaee E. Sustainable Route Selection of Petroleum Transportation Using a Type-2 Neutrosophic Number Based ITARA-EDAS Model. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.11.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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5
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Wang H, Zhang F. Modified WASPAS method based on the pythagorean fuzzy frank interaction aggregation operators and its application in cloud computing product selection. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-213152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Frank operations are more robust and flexible than other algebraic operations, and interaction operational laws consider interrelationship between membership functions in Pythagorean fuzzy number. Combining the strengths of both, we define some Frank interaction operational laws of Pythagorean fuzzy numbers for the first time in this article. Based on this, the Pythagorean fuzzy Frank interaction weighted averaging and geometric operators are developed. Meanwhile, we discuss their basic properties and related special cases. Furthermore, a novel multiple attribute decision-making framework is established based on the modified WASPAS method in Pythagorean fuzzy environment. The proposed method is implemented in a real-case study of cloud computing product selection to test the proposed methodology’s plausibility. A sensitivity analysis is conducted to verify our method’s reliability, and the effectiveness and superiority are illustrated by comparative study.
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Affiliation(s)
- Haolun Wang
- Research Center of the Central China for Economic and Social Development, Nanchang, China
- School of Economics and Management, Nanchang University, Nanchang, China
| | - Faming Zhang
- School of Business, Guilin University of Electronic Technology, Guilin, China
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6
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Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making. GRANULAR COMPUTING 2022. [DOI: 10.1007/s41066-022-00330-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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7
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Gao P. VIKOR method for intuitionistic fuzzy multi-attribute group decision-making and its application to teaching quality evaluation of college English. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-211749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The results of the nation-wide public college English tests and some other English tests held by the college itself are very valuable data for the assessment of the English teaching level. In the light of the selected and processed data and some other auxiliary approaches, the writer suggests that a modernized monitoring system be established to improve English teaching quality. Under this system, teachers’ and students’ English level can be evaluated in an objective way. Consequently, the subsequent measures such as teachers’ promotion as well as students’ development and employment and the evaluation of the quality of test-papers can be taken scientifically. We can solve the above issues with help of multi-attribute group decision making (MAGDM) method. Depending on the VIKOR steps and given intuitionistic fuzzy sets (IFSs), this paper devises the IF-VIKOR to assess the teaching quality of college English. In addition, the weights of attribute are derived through CRITIC method. Then, the VIKOR method is extended to IFSs to derive the order of each alternative. Therefore, all alternatives could be ranked and the best one can be identified. Eventually, we give an example of college English teaching quality evaluation, according to some comparison with other methods to make an analysis, the results show that the method proposed in such paper is effective and easy to compute.
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Affiliation(s)
- Pei Gao
- School of Foreign Languages, Xi’an Aeronautical Institute, Xi’an, Shaanxi, China
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Tan J, Liu Y, Senapati T, Garg H, Rong Y. An extended MABAC method based on prospect theory with unknown weight information under Fermatean fuzzy environment for risk investment assessment in B&R. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2022; 14:1-30. [PMID: 35340700 PMCID: PMC8939403 DOI: 10.1007/s12652-022-03769-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
The assessment of investment risk for the countries along the route in Belt and Road (B&R) can be deemed as a multiple criteria group decision making (MCGDM) issue since multiple investment options based on diverse criterions are assessment by experts. Pondering that the complexity and uncertainty of the assessment setting and the cognition fuzziness and psychological behavior of experts bring challenges to risk assessment, this paper designed an integrated MCGDM risk investment evaluation framework by synthesizing MABAC method and prospect theory under Fermatean fuzzy setting. Firstly, a Fermatean fuzzy interactive distance measure is presented to ascertain the weight of evaluation experts and criterions. Next, some Fermatean fuzzy Frank aggregation operators based upon the proposed Frank operations are developed to fuse Fermatean fuzzy information efficiently. In addition, an innovative evaluation framework for risk investment is designed based on improved prospect theory MABAC and CRITIC approaches. Conclusively, an empirical concerning risk investment issues in B&R is employed to confirm the applicability and feasibility of the constructed evaluation framework, involving the simulation experiments on sensitivity analysis and contrast studies. The assessment information provided by investors using the linguistic assessment terms based upon their cognition ability of them. These outcomes obtained by the propounded method and comparison analysis further emphasize the validity and salient merits of the propounded framework and provide several auxiliary suggestions for investors.
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Affiliation(s)
- Jiade Tan
- School of Science, Xihua University, Chengdu, 610039 Sichuan People’s Republic of China
| | - Yi Liu
- School of Mathematics and Information Sciences, Neijiang Normal University, Neijiang, 641100 Sichuan People’s Republic of China
| | - Tapan Senapati
- Department of Mathematics, Padima Janakalyan Banipith, Kukrakhupi, 721517 India
- School of Mathematics and Statistics, Southwest University, Beibei, 400715 Chongqing China
| | - Harish Garg
- School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala, 147004 Punjab India
| | - Yuan Rong
- School of Management, Shanghai University, Baoshan District, 200444 Shanghai People’s Republic of China
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Waste Clothing Recycling Channel Selection Using a CoCoSo-D Method Based on Sine Trigonometric Interaction Operational Laws with Pythagorean Fuzzy Information. ENERGIES 2022. [DOI: 10.3390/en15062010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Under the influence of circular economy theory, waste clothing recycling has been widely studied in the resource sector, and the waste clothing recycling channel (WCRC) is the vital link that affects the recycling efficiency of waste clothing. How to select the optimal WCRC is considered a typical multiple attribute group decision-making (MAGDM) problem. In this article, we develop sine trigonometric interaction operational laws (IOLs) (STIOLs) using Pythagorean fuzzy information. The sine trigonometric interaction Pythagorean fuzzy weighted averaging (STI-PyFWA) and sine trigonometric interaction Pythagorean fuzzy weighted geometric (STI-PyFWG) operators are advanced, and their several desirable properties are discussed. Further, we build a MAGDM framework based on the modified Pythagorean fuzzy CoCoSo (Combined Compromise Solution) method to solve the WCRC selection problem. The combined weight of attributes is determined, and the proposed aggregation operators (AOs) are applied to the CoCoSo method. A Pythagorean fuzzy distance measure is used to achieve the defuzzification of aggregation strategies. Finally, we deal with the WCRC selection problem for a sustainable environment by implementing the proposed method and performing sensitivity analysis and comparative study to validate its effectiveness and superiority.
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10
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Wang H, Zhang F. Interaction power Heronian mean aggregation operators for multiple attribute decision making with T-spherical fuzzy information. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-212149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The interaction operation laws (IOLs) between membership functions can effectively avoid the emergence of counterintuitive situations. The power average (PA) operator can eliminate the negative effect of extremely or improperly assessments on the decision results. The Heronian mean (HM) operator is capable of examining the interrelationship between the two attributes. To synthesize the powers of the IOLs, PA and HM operators in this paper, the PA and HM operators are extended to process T-spherical fuzzy evaluation information perfectly based on the IOLs, and the T-spherical fuzzy interaction power Heronian mean (T-SFIPHM) operator and its weighted form are proposed. We further present some properties of these proposed AOs and discuss several special cases. Moreover, a novel method to T-spherical fuzzy multiple attribute decision making (MADM) problems applying the proposed AO is developed. Lastly, we present a numerical example to validate its feasibility and reasonableness, and the superiority of the developed method is further illustrated by sensitivity analysis of parameters and comparison with existing methods. The results show that proposed AOs not only can capture the interactivity among membership degree (MD), abstinence degree (AD) and non-membership degree (NMD) of T-spherical fuzzy numbers (T-SFNs), bust also ensure the overall balance of variable values in the process of information fusion and realize the interrelationship between attribute variables, so the decision results can be closer to reality and more reliable.
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Affiliation(s)
- Haolun Wang
- Research Center of the Central China for Economic and Social Development, Nanchang, China
- School of Economics and Management, Nanchang University, Nanchang, China
| | - Faming Zhang
- School of Business, Guilin University of Electronic Technology, Guilin, China
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11
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Du Y, Ren W, Du Y, Hou F. Some q-rung orthopair trapezoidal fuzzy linguistic hamacher aggregation operators and their applications. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-210056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
A Hamacher operator in a q-rung orthopair trapezoidal fuzzy linguistic environment is studied based on the definition of the q-rung orthopair fuzzy set and the Hamacher aggregation operator. First, we define a new fuzzy variable called q-rung orthopair trapezoidal fuzzy linguistic sets, and the operational laws, score function, accuracy function, comparison rules, and distance measures of the IVPFLVS are defined. Second, based on the Hamacher operator and the q-rung orthopair trapezoidal fuzzy linguistic sets, we propose several q-rung trapezoidal fuzzy linguistic Hamacher operator information aggregation operators, such as the generalized q-rung orthopair trapezoidal fuzzy linguistic Hamacher weighted averaging (q-GROTrFLHWA) operator, and the generalized q-rung orthopair trapezoidal fuzzy linguistic Hamacher weighted geometric (q-GROTrFLHWG) operator. Third, some desirable properties of the correlation operators, such as idempotency, boundedness, and monotonicity are discussed. Finally, there are two group decision schemes based on q-rung orthopair trapezoidal fuzzy information with known attribute weights. The decision-making scheme is applied to the evaluation of school teaching quality, and the practicability and effectiveness of the scheme are demonstrated by different methods.
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Affiliation(s)
- Yuqin Du
- School of Economics, University of Chinese Academy of Social Sciences, Beijing, China
| | - Weijia Ren
- Tiangong University, Tianjin, China
- Tianjin Key Laboratory of Modern Mechanical and Electrical Equipment Technology, Tianjin, China
| | - Yuhong Du
- Tiangong University, Tianjin, China
- Tianjin Key Laboratory of Modern Mechanical and Electrical Equipment Technology, Tianjin, China
| | - Fujun Hou
- Beijing Institute of Technology, School of Management and Economics, Beijing, China
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12
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T-Spherical Fuzzy Rough Interactive Power Heronian Mean Aggregation Operators for Multiple Attribute Group Decision-Making. Symmetry (Basel) 2021. [DOI: 10.3390/sym13122422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In this article, to synthesize the merits of interaction operational laws (IOLs), rough numbers (RNs), power average (PA) and Heronian mean (HM), a new notion of T-spherical fuzzy rough numbers (T-SFRNs) is first introduced to describe the intention of group experts accurately and take the interaction between individual experts into account with complete and symmetric information. The distance measure and ordering rules of T-SFRNs are proposed, and the IOLs of T-SFRNs are extended. Next, the PA and HM are combined based on the IOLs of T-SFRNs, and the T-Spherical fuzzy rough interaction power Heronian mean operator and its weighted form are proposed. These aggregation operators can accurately express both individual and group uncertainty using T-SFRNs, capture the interaction among membership degree, abstinence degree and non-membership degree of T-SFRNs by employing IOLs, ensure the overall balance of variable values by the PA in the process of information fusion, and realize the interrelationship between attribute variables by the HM. Several properties and special cases of these aggregation operators are further presented and discussed. Subsequently, a new approach for dealing with T-spherical fuzzy multiple attribute group decision-making problems based on proposed aggregation operator is developed. Lastly, in order to validate the feasibility and reasonableness of the proposed approach, a numerical example is presented, and the superiorities of the proposed method are illustrated by describing a sensitivity analysis and a comparative analysis.
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13
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Mondal A, Roy SK. Application of Choquet integral in interval type‐2 Pythagorean fuzzy sustainable supply chain management under risk. INT J INTELL SYST 2021. [DOI: 10.1002/int.22623] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Arijit Mondal
- Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore West Bengal India
| | - Sankar Kumar Roy
- Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore West Bengal India
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Zhang H, Wei G, Chen X. CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-202954] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.
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Affiliation(s)
- Huiyuan Zhang
- School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China
| | - Guiwu Wei
- School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China
- School of Business, Sichuan Normal University, Chengdu, P.R. China
| | - Xudong Chen
- School of Accounting, Southwestern University of Finance and Economics, Chengdu, P.R. China
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Shaheen T, Ali MI, Toor H. Why do we need q‐rung orthopair fuzzy sets? Some evidence established via mass assignment. INT J INTELL SYST 2021. [DOI: 10.1002/int.22520] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Muhammad Irfan Ali
- Department of Mathematics Islamabad Model College for Boys Islamabad Pakistan
| | - Hamza Toor
- Biomedical Engineering Department Riphah International University Islamabad Pakistan
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16
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Jin L, Chen Z, Yager RR, Špirkovà J, Mesiar R, Paternain D, Bustince H. GnIOWA operators and some weights allocation methods with their properties. INT J INTELL SYST 2021. [DOI: 10.1002/int.22382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- LeSheng Jin
- Business School, Nanjing Normal University Nanjing China
| | - Zhen‐Song Chen
- Department of Engineering Management, School of Civil Engineering Wuhan University Wuhan China
| | - Ronald R. Yager
- Machine Intelligence Institute Iona College New Rochelle New York USA
| | - Jana Špirkovà
- Faculty of Economics, Matej Bel University Banská Bystrica Slovakia
| | - Radko Mesiar
- Faculty of Civil Engineering, Slovak University of Technology Bratislava Slovakia
- Deparment of Algebra & Geometry, Faculty of Science Palacky University of Olomouc Olomouc Czech Republic
| | - Daniel Paternain
- Department of Statistics, Computer Science and Mathematics Public University of Navarre Pamplona Spain
| | - Humberto Bustince
- Department of Statistics, Computer Science and Mathematics Public University of Navarre Pamplona Spain
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17
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Public transport customer satisfaction evaluation using an extended thermodynamic method: a case study of Shanghai, China. Soft comput 2021. [DOI: 10.1007/s00500-021-05790-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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18
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Nedeljković M, Puška A, Doljanica S, Virijević Jovanović S, Brzaković P, Stević Ž, Marinkovic D. Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA - Fuzzy MABAC model. PLoS One 2021; 16:e0246857. [PMID: 33630837 PMCID: PMC7906314 DOI: 10.1371/journal.pone.0246857] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 01/27/2021] [Indexed: 11/18/2022] Open
Abstract
Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 - Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis-changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.
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Affiliation(s)
- Miroslav Nedeljković
- Agricultural Faculty, University of Bijeljina, Bijeljina, Bosnia and Herzegovina
| | - Adis Puška
- Government of the Brčko District of BiH, Brčko, Bosnia and Herzegovina
| | - Suzana Doljanica
- Faculty of Applied Management, Economics and Finance, University Business Academy, Novi Sad, Serbia
| | - Saša Virijević Jovanović
- Faculty of Applied Management, Economics and Finance, University Business Academy, Novi Sad, Serbia
| | - Pavle Brzaković
- Faculty of Applied Management, Economics and Finance, University Business Academy, Novi Sad, Serbia
| | - Željko Stević
- Faculty of Transport and Traffic Engineering, University of East Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Dragan Marinkovic
- Faculty of Mechanical Engineering and Traffic Systems, TU Berlin, Berlin, Germany
- * E-mail:
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19
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Peng X, Huang H, Luo Z. q
‐Rung orthopair fuzzy decision‐making framework for integrating mobile edge caching scheme preferences. INT J INTELL SYST 2021. [DOI: 10.1002/int.22377] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Xindong Peng
- College of Computer National University of Defense Technology Changsha China
- School of Information Engineering Shaoguan University Shaoguan China
| | - Haihui Huang
- School of Information Engineering Shaoguan University Shaoguan China
- Faculty of Information Technology & State Key Laboratory of Quality Research in Chinese Medicines Macau University of Science and Technology Macau China
| | - Zhigang Luo
- College of Computer National University of Defense Technology Changsha China
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