New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory

Huang, Jia; You, Xiao‐Yue; Liu, Hu‐Chen; Si, Shengli

doi:10.1080/00207543.2018.1470343

Cited by 75 publications

(24 citation statements)

References 63 publications

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“…More specifically, the proportions with respect to each generalized linguistic terms in the representation model indicates the support of each expert to the group efforts. Several theoretical extensions and real-life applications of PHFLS have demonstrated that it effectively avoid the information loss, eliminate information distortion, and facilitate the process of CW [42,43,44].…”

Section: Preliminariesmentioning

confidence: 99%

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Chen

Kong

et al. 2019

IJERPH

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Outsourcing the hazardous materials (HazMat) transportation is an effective way for manufacturing enterprises to avoid risks and accidents as well as to retain sustainable development in economic growth and social inclusion while not bringing negative impacts on the public and the environment. It is imperative to develop viable and effective approaches to selecting the most appropriate HazMat transportation alternatives. This paper aims at proposing an integrated multi-criteria group decision making approach that combines proportional hesitant fuzzy linguistic term set (PHFLTS) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to address the problem of HazMat transportation alternative evaluation and selection. PHFLTSs are adopted to represent the congregated individual evaluations in a bid to avoid information loss and increase the reliability of results. Two weight assignment models are then proposed to determine the comprehensive weights of experts and criteria. Furthermore, several novel manipulations of PHFLTS are also defined to enrich its applicability. The TOPSIS method is subsequently extended to the context of PHFLTSs to rank alternatives and choose the best one. Eventually, the feasibility and validity of the proposed approach are verified by a practical case study of a HazMat transportation alternative evaluation and selection decision and further comparison analyses.

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Section: Preliminariesmentioning

confidence: 99%

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Chen

Kong

et al. 2019

IJERPH

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“…Recently, QFD has attracted much attention of researchers, and various improved frameworks of QFD have been developed (Sivasamy, Arumugam, Devadasan, Murugesh, & Thilak, ). To depict the vague or imprecise ratings of QFD participants, fuzzy sets (Lin et al, ), hesitant fuzzy sets (Wu, Liu, & Wang, ), interval linguistic variables (Li, Du, & Chin, ), multigranular LTSs (Li & He, ), multigranular unbalanced LTSs (Wang et al, ), and proportional hesitant fuzzy LTSs (Huang, You, Liu, & Si, ) have been adopted. To deal with the heterogeneity of DMs, AHP (Jia, Liu, Lin, Qiu, & Tan, ), Bodily's updated method (Wang, Fung, Li, & Pu, ), and fuzzy majority‐based method (Yan & Ma, ) have been developed to assign importance weights to each DM.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To deal with the heterogeneity of DMs, AHP (Jia, Liu, Lin, Qiu, & Tan, ), Bodily's updated method (Wang, Fung, Li, & Pu, ), and fuzzy majority‐based method (Yan & Ma, ) have been developed to assign importance weights to each DM. To obtain the basic weights of ECs, objective weighting methods such as MDM (Li & He, ) and entropy‐based method (Li, Du, & Chin, ), subjective weighting methods such as AHP (Haber et al, ), analytic network process (Asadabadi, ), and BWM (Huang et al, ) have been widely used. Moreover, some researchers have viewed prioritizing the final importance ratings of ECs as a form of multicriteria decision‐making (MCDM).…”

Section: Literature Reviewmentioning

confidence: 99%

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

et al. 2019

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Qualification for the importance degree of service designs (SDs) is an essential stage in promoting accommodation performances to satisfy customers and gain market shares. Although various methods have been applied to derive the priorities of SDs, they do not effectively deal with the vagueness of information and the heterogeneity of decision makers (DMs). This study presents an improved quality function deployment (QFD) for prioritizing SDs. Multigranular unbalanced linguistic term sets are used to capture evaluators' ratings to cope with vague information. The multigranular linguistic information is unified by using a novel uniform method. This kind of information then is represented as linguistic distribution assessments using the concept of random preferences based on possibility interpretations of weight information. A consensus‐based mathematical programming model is established to determine the weights of DMs. Moreover, a combined structure that combines maximizing deviation and best worst methods is used to derive basic weights of SDs. Finally, an illustrative example of island accommodation management in Weizhou Island is provided to demonstrate the applicability and advantages of the proposed QFD framework.

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“…Thereafter, the original decision information was transformed to obtain the final foreground value and ranking. In this process, the different sensitivities of decision‐makers towards profit and losses and the nonlinear change of probability preferences were considered, which better describes the irrational psychology of decision‐makers and has been widely used in academia 41–45 . However, available literature concerning PCFS does not consider the irrational psychological behavior of decision‐makers 22–26 .…”

Section: Introductionmentioning

confidence: 99%

Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making

Wang

Zhao

2021

Int J Intell Syst

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The Pythagorean cubic fuzzy set (PCFS) describes a mixture of interval Pythagorean information and Pythagorean fuzzy values. Compared to the Pythagorean and interval Pythagorean fuzzy sets, PCFS contains comprehensive information suitable for solving complex multicriteria decision‐making (MCDM) problems. However, the use of existing PCFS comparison tools, including score‐function and distance‐measurement, is impractical in some cases. To address this concern, this study transforms PCFS into the geometric form, and proposes the use of the PCFS geometric‐distance measurements. The proposed method requires the maximum and minimum values of membership and nonmembership degrees to be considered positive and negative reference points, respectively. Moreover, the gain and loss matrices are constructed. The risk‐preference coefficient is introduced to improve the original prospect‐value expression. The final ranking results of decision‐makers considering several risk preferences are presented by balancing the proportion of the positive and negative prospect values, thereby constructing an MCDM model based on the PCFS‐geometric‐distance measure and prospect theory. The feasibility and practicality of this model are validated via a case study concerning urban human settlements to ensure satisfactory housing conditions and appropriate infrastructure development. As observed, the proposed model can adequately evaluate urban human settlements, thereby demonstrating the potential to solve similar problems. A sensitivity analysis of the risk‐preference coefficient and subsequent comparison against existing methods reveal the proposed MCDM model to yield convincing results.

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New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory

Cited by 75 publications

References 63 publications

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making

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