An integrated approach to multiple criteria decision making based on the average solution and normalized weights of criteria deduced by the hesitant fuzzy best worst method

Mi, Xiaomei; Liao, Huchang

doi:10.1016/j.cie.2019.05.004

Cited by 82 publications

(27 citation statements)

References 27 publications

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“…Gundogdu et al ( 2018 ) extended the EDAS model for assessing and choosing the suitable hospital under HFSs environment. Mi and Liao ( 2019 ) discussed a combined framework with BWM and EDAS method with HFSs to assess insurance projects. Zhang et al ( 2019 ) extended the EDAS approach to select the best green supplier.…”

Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

139

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In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers’ weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers’ weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.

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Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

139

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“…Step 4. Inspired by [30], assuming that the multiple values in NWH-FEs are evenly distributed, the score function could represent the most possible value, and can be used to reduce the computational complexity. Construct novel preference degrees by using Eq.…”

Section: Construct the Bwm-based Weighting Model Of Expert Panelmentioning

confidence: 99%

“…For example, Ali and Rashid [29] described the reference comparison of each criterion with the best and worst criteria by the linguistic terms expressed in HFEs. Mi and Liao [30] deduced a BWM-based weighting model with hesitant fuzzy information. In this paper, we extend the HFS into NWHFS to dig the deeper valuable information and combine it with BWM to derive the weight vectors of expert panel and criteria.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information

Yang¹,

Wang²,

Peng³

et al. 2020

IJCIS

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Multi-criteria group decision-making (MCGDM) problems are widespread in real life. However, most existing methods, such as hesitant fuzzy set (HFS), hesitant fuzzy linguistic term set (HFLTS) and inter-valued hesitant fuzzy set (IVHFS) only consider the original evaluation data provided by experts but fail to dig the concealed valuable information. The normal wiggly hesitant fuzzy set (NWHFS) is a useful technique to depict experts' complex evaluation information toward MCGDM issues. In this paper, on the basis of the score function of NWHFS, we propose the linear best-worst method (BWM)-based weight-determining models with normal wiggly hesitant fuzzy (NWHF) information to compute the optimal weights of experts and criteria. In addition, we present some novel distance measures between NWHFSs and discuss their properties. After fusing the individual evaluation matrices, the NWHF-ranking position method is put forward to develop the group MULTIMOORA method, which can be determined by the final decision results. Moreover, we investigate the Spring Festival travel rush phenomenon deeply and apply our methodology to solve the train selection problem during the Spring Festival period. Finally, the applicability and superiority of the proposed approach is demonstrated by comparing with traditional methods based on two aggregation operators of NWHFSs.

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“…Multisource information fusion is concerned with integrating multiple information and knowledge into comprehensive estimation or prediction for targets, which can have superior performance compared with single-source information. The theory and methodology of multisource information fusion is effective for management systems and engineering applications, so it has been extended in a multitude of fields, such as pattern recognition, 6,7 decision management, [8][9][10] and risk assessment. 11,12 As an effective tool, DST has been widely used to model the uncertain and imprecise information for multisource information fusion.…”

Section: Introductionmentioning

confidence: 99%

Evidence combination using OWA‐based soft likelihood functions

2019

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Dempster's combination rule has been widely regarded and applied since it is an effective and rigorous method of synthesizing multisource information with its special information representation (ie, mass function or basic probability assignment). However, it has also been criticized and debated upon regarding some of its unreasonable behaviors and restrictive requirements, such as the counterintuitive results in some cases. To address these issues from different perspectives, in this study, an alternative fusion rule is developed under the framework of Dempster‐Shafer evidence theory. A novel evidence combination rule called CR‐SLF is proposed based on soft likelihood functions (SLF) considering the ordered weighted average aggregation operator. Some illustrative examples are shown, and the corresponding analyses demonstrate the good performance of CR‐SLF to fuse multisource evidence. To extend CR‐SLF further, the reliability of multisource evidence is considered from two aspects, subsequently two reliability‐based combination rules are presented, including the discount‐based rule and the SLF improvement‐based rule. The simulation results show that the reliability‐based CR‐SLF has a better fusion effect than the rule without considering the reliability.

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An integrated approach to multiple criteria decision making based on the average solution and normalized weights of criteria deduced by the hesitant fuzzy best worst method

Cited by 82 publications

References 27 publications

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information

Evidence combination using OWA‐based soft likelihood functions

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