A new integrated intuitionistic fuzzy group decision making approach for product development partner selection

Büyüközkan, Gülçin; Güleryüz, Sezin

doi:10.1016/j.cie.2016.05.038

Cited by 94 publications

(47 citation statements)

References 65 publications

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“…TOPSIS is a method to determine the optimal solution according to a limited number of target points, choosing the optimal solution by ranking the distances between the single target points and the optimal solution (Mohamed et al 2019). IF-TOPSIS method which based on IFS and TOPSIS method is used in comprehensive urban resilience evaluation in this article (Büyüközkan and Güleryüz 2016;Zhang et al 2019). If a certain target point is the nearest to the positive ideal solution and the farthest from the negative ideal solution, then the certain target point is the optimal solution.…”

Section: Ranking Based On the If-topsis Methodsmentioning

confidence: 99%

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

Xun

Yuan

2020

Nat Hazards

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Cities are important barriers to protect people's lives and property in the face of natural disasters, economic fluctuations and epidemic diseases. The evaluation of urban resilience is a hybrid multiple attribute group decision-making problem involving both crisp and fuzzy indicators. In order to evaluate the urban resilience reasonably and quantitatively, an urban resilience evaluation index system is established, including four primary indicators of ecological environment, municipal facilities, economic development and social development, and 28 secondary indicators. An evaluation model based on the theory of intuitionistic fuzzy set and TOPSIS method is proposed. The intuitionistic trapezoidal fuzzy number is used to quantify the fuzzy index and determine the weights of experts. The weight of each index is determined based on the maximizing deviation method. The relevant data of Dalian City from 2013 to 2017 are collected to evaluate the city resilience, and a sensitivity analysis is carried out based on the proposed model. The results may provide insights for the further urban resilience promotion.

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Section: Ranking Based On the If-topsis Methodsmentioning

confidence: 99%

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

Xun

Yuan

2020

Nat Hazards

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“…In the industrial engineering discipline, decision making plays a key role in properly managing complex social, economic, and engineering systems such as group decision support (Beruvides, 1995), product development partner selection (Büyüközkan and Güleryüz, 2016), and ballot system design (Sivagami et al, 2011). Group decision-making (GDM) (Arrow, 1950;Fishburn, 1970) is the process of aggregating multiple decision-makers' (DMs') preferences over different alternatives into a compromised collective preference order for an entire group according to some rules (Hwang and Lin, 2012).…”

Section: Introductionmentioning

confidence: 99%

Consensus decision models for preferential voting with abstentions

Gong

Zhang

et al. 2018

Computers & Industrial Engineering

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Highlights  A DEA model is proposed for preferential voting with abstentions. Raw votes are expressed as intervals with the width characterizing uncertain votes.  The DEA model does not consider the influence of a moderator. Another model incorporates the influence of a moderator on uncertain votes.  Economic significance is investigated for the second model and its dual models. AbstractProper use of the data envelopment analysis (DEA) for aggregating preferential rankings helps improve efficiency of a voting system. It has been observed that many recent elections often have low turnouts, a large number of abstentions and invalid ballots. If these voters can be influenced to cast their votes for or against a candidate, it is understandable that the voting result can be quite different. The purpose of this research is to incorporate abstentions into preferential voting models. To this end, we first introduce a preferential voting DEA model with abstentions, in which the raw votes are expressed as interval values and the width of the interval characterizes the number of uncertain votes, the objective function is to maximize a candidate's weighted voting score, and the constraints put restrictions on the place weights to ensure a proper importance order of different places. Secondly, given the fact that opinion leaders often employ different means such as social media and advertisement to influence voters in real-world elections, we explicitly incorporate these opinion leaders/brokers as a moderator into a preferential voting model with abstentions and introduce a moderator-involved-consensus preferential voting (MICPV) model. This model aims to capture the moderator's influences on the uncertain voters from a consensus perspective. The optimal allocation of all uncertain votes allows the moderator to maximize his/her influence over the voters to achieve the minimum deviation between his/her expected and the aggregate scores of the candidates. At the optimality, for those candidates where a complete consensus is achievable, the model identifies the optimal allocation scheme. We also analyze the economic significance of the MICPV model.

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“…Kumar et al [19] used an integrated fuzzy-AHP and fuzzy multi-objective linear programming approach for order allocation among green suppliers. AHP and fuzzy-AHP are recognized as good tools for addressing MCDM problems, as they can provide techniques for flexibly deciding among various options [20]. However, real-world complexity has generated the need to extend other fuzzy concepts to help organizations make more thoughtful and precise decisions.…”

Section: Introductionmentioning

confidence: 99%

A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information

Liang

Wang

Zhang

2017

Neural Comput & Applic

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Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decisionmaking problems. Preference relations represent a practical tool for presenting decision makers' preference information regarding various alternatives. The purpose of this paper is to propose single-valued trapezoidal neutrosophic preference relations (SVTNPRs) as a strategy for tackling multi-criteria decision-making problems. First, this paper briefly reviews basic concepts about neutrosophic sets and SVTNNs and defines a new comparison method and new operations for SVTNNs. Next, two aggregation operators, the single-valued trapezoidal neutrosophic weighted arithmetic average operator and the single-valued trapezoidal neutrosophic weighted geometric average operator, are proposed for applications in information fusion. Then, this paper discusses the definitions of completely consistent SVTNPRs and acceptably consistent SVTNPRs. Finally, we outline a decision-making method based on SVTNPRs to address green supplier selection problems, and we conduct a comparison study and discussion to illustrate the rationality and effectiveness of the decision-making method.

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A new integrated intuitionistic fuzzy group decision making approach for product development partner selection

Cited by 94 publications

References 65 publications

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

Consensus decision models for preferential voting with abstentions

A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information

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