A Generalized TOPSIS Method for Intuitionistic Fuzzy Multiple Attribute Group Decision Making Considering Different Scenarios of Attributes Weight Information

Gupta, Pankaj; Mehlawat, Mukesh Kumar; Grover, Nishtha

doi:10.1007/s40815-018-0563-7

Cited by 36 publications

(14 citation statements)

References 30 publications

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“…Moreover, a numerical example for green supplier selection has been proposed to illustrate the new method and some comparisons are also conducted to further illustrate advantages of the new method. In the future, our proposed VIKOR method with 2TLNNs and VIKOR method with IV2TLNNs can be applied to the risk analysis (Wei, Qin, Li, Zhu, & Wei, 2019;Wei, Yu, Liu, & Cao, 2018), the MCGDM problems (Hashemi, Mousavi, Zavadskas, Chalekaee, & Turskis, 2018;Yazdani, Zarate, Coulibaly, & Zavadskas, 2017;Zavadskas, Turskis, Vilutien_ e, & Lepkova, 2017) and many other uncertain and fuzzy environments (Deng & Gao, 2019;Gao, 2018;Gupta, Mehlawat, & Grover, 2019;Li & Lu, 2019;Wang, Gao, & Lu, 2019;Wang, 2019;Wu, Gao, & Wei, 2019;Wu, Wang, & Gao, 2019;Xian, Chai, & Guo, 2019).…”

Section: Resultsmentioning

confidence: 99%

VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

Wei

Wang

et al. 2019

Economic Research-Ekonomska Istraživanja

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In this article, the VIKOR method is proposed to solve the multiple criteria group decision making (MCGDM) with 2-tuple linguistic neutrosophic numbers (2TLNNs). Firstly, the fundamental concepts, operation formulas and distance calculating method of 2TLNNs are introduced. Then some aggregation operators of 2TLNNs are reviewed. Thereafter, the original VIKOR method is extended to 2TLNNs and the calculating steps of VIKOR method with 2TLNNs are proposed. In the proposed method, it's more reasonable and scientific for considering the conflicting criteria. Furthermore, the VIKOR are extended to interval-valued 2-tuple linguistic neutrosophic numbers (IV2TLNNs). Moreover, a numerical example for green supplier selection has been given to illustrate the new method and some comparisons are also conducted to further illustrate advantages of the new method.

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Section: Resultsmentioning

confidence: 99%

VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

Wei

Wang

et al. 2019

Economic Research-Ekonomska Istraživanja

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“…How is the alternative with the best performance determined? There exist lots of different sorts of effective tools to denote decision makers' preference information, where fuzzy set is one of the most concerned [8][9][10][11][12][13][14][15][16][17]. The Fermatean fuzzy set (FFS) proposed by Senapati and Yager [18] is one of the most well-known and practical tools among them, which mainly restricts the summation of the cubes of the membership degree and the nonmembership degree shall not exceed one.…”

Section: Introductionmentioning

confidence: 99%

Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator

Zeng

Pan

Jin

2022

Systems

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Due to the full-scale outbreak of COVID-19, many universities have adopted the way of online teaching to ensure the orderly development of teaching plans and teaching contents. However, whether online and offline teaching can develop homogeneously and how to ensure the teaching effect is a major challenge for colleges and universities. Therefore, it is urgent to construct a reasonable index system and evaluation approach for the quality of network teaching. Combined with the influencing factors and characteristics of online teaching, this study first puts forward a multi-index evaluation index system and then proposes a novel evaluation method for online teaching based on the analytical hierarchy process (AHP) and Dombi weighted partitioned Muirhead Mean (PMM) operator under Fermatean fuzzy (FF) environment. This presented method not only adapts to changeable evaluation information but also handles the elusive interrelationships among indexes, realizing the flexibility and comprehensiveness both in form and in the polyaddition process. The applicability and feasibility of this presented method are then discussed through the practical online teaching quality evaluation of a business statistics course case, and a group of tentative about the sensitivity analysis and comparative analysis further demonstrates the effectiveness and flexibility of the proposed method.

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“…The uncertainty and fuzziness of complex problems are usually high, which means that the MAGDM model established in the crisp number environment has been difficult to adapt to the real situation. [43][44][45][46] Hence, using FSs to study MADM or MAGDM has become a consensus in this field. [47][48][49] The MABAC method proposed by Pamucar and Cirovic 50 in 2015 is a simple and logical method for solving MAGDM issues.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, most decisions are so complex that they cannot be made by an individual, but by a group of experts which involves the research content of MAGDM. The uncertainty and fuzziness of complex problems are usually high, which means that the MAGDM model established in the crisp number environment has been difficult to adapt to the real situation 43–46 . Hence, using FSs to study MADM or MAGDM has become a consensus in this field 47–49 .…”

Section: Introductionmentioning

confidence: 99%

Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

Zhao

Wei

Chen

et al. 2021

Int J of Intelligent Sys

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Intuitionistic fuzzy sets are often employed to depict complex and uncertain environments. The purpose of this article is to construct a new approach for dealing with multiattribute group decision making (MAGDM) problems. In this paper, we introduce the concept of cumulative prospect theory (CPT) into the original multiattributive border approximation area comparison (MABAC) method and create the intuitionistic fuzzy MABAC method based on CPT (CPT‐IF‐MABAC method). The new CPT‐IF‐MABAC method not only has fairly strong operability, but also inherits the characteristic of CPT that considers the influence of decision makers' attitude. Furthermore, this new model mixes together the determination method of attribute weight and alternative. At the end, the stability and availability of this method are demonstrated through an application instance about cold chain and the comparison with the existing methods, such as IF‐MULTIMOORA method and IF‐VIKOR method. In the future, we devote ourselves to explore more applications of this new proposed method and other more effective solutions for MAGDM.

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A Generalized TOPSIS Method for Intuitionistic Fuzzy Multiple Attribute Group Decision Making Considering Different Scenarios of Attributes Weight Information

Cited by 36 publications

References 30 publications

VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator

Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

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