An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment

Qin, Jindong; Liu, Xinwang; Pedrycz, Witold

doi:10.1016/j.ejor.2016.09.059

Cited by 516 publications

(233 citation statements)

References 47 publications

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“…Sari [10] constructed a new decision model based on an analytical hierarchy process, VIKOR (VIsekriterijumska Optimizacija I Kompromisno Resenje), and Monte Carlo simulation to the assessment for green supply chain management. Qin et al [11] introduced the TODIM method into an interval type-2 fuzzy set and presented an MCGDM approach to handle green supplier selection. To evaluate the green performance of suppliers, Wang et al [3] developed a comprehensive approach according to the cloud model and QUALIFLEX (QUALitative FLEXible multiple criteria) method.…”

Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

Zhu

2018

Sustainability

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Green supplier selection, as a core part of green supply chain management, has attracted the attention of various researchers in the past decade. Plenty of green supplier selection methods based on multi-criteria group decision-making have been presented in previous literature. However, these approaches ignore the consensus level between the experts, and they rarely consider the priority level among the experts and the interdependent relationship between criteria. To handle these issues, an integrated framework of green supplier selection under the hesitant fuzzy linguistic (HFL) environment was established. In this framework, the preference information expressed by HFL was transformed into the hesitant 2-tuple linguistic (H2TL). Then, the consensus process was introduced into the green supplier selection process to increase the consensus level between experts. The H2TL prioritized operator and Choquet integral operator were respectively applied to construct the group decision matrix and derive the ranking order of green suppliers. Finally, we used a numerical example to demonstrate the validity and applicability of the presented framework and implemented a comparative analysis to highlight the features of the presented method.

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Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

Zhu

2018

Sustainability

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“…Group Decision Making is a field that has been present in the literature since the late 80's [2] until nowadays [13,15,19,25,29]. Generally, a typical group decision making problem can be formally defined as follows.…”

Section: Group Decision Makingmentioning

confidence: 99%

Analysing discussions in social networks using group decision making methods and sentiment analysis

Morente-Molinera

Kou

Peng

et al. 2018

Information Sciences

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in:Information Sciences 447 (2018) AbstractSocial networks are one of the most preferred environments for people to carry out debates. Due to the fact that a high amount of people can participate in the process, there is a need of tools that can analyse these discussions and extract useful information from them. In this paper, a novel way of determining how the debate is going on, if there is consensus among the participants and which alternatives are preferred is presented. Sentiment analysis is used in order to measure the level of preference that social media users have about a certain set of alternatives. In order to test the presented scheme, a real application example that makes use of Twitter information is presented.

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“…Step 4: Obtain the evaluative rating (17) of the approximate negative-ideal solution z  with respect to criterion j cC  using (18) and (19).…”

Section: Steps 3-6: Establishment Of Likelihood-based Indicesmentioning

confidence: 99%

“…">INTRODUCTIONMultiple criteria decision analysis (MCDA) often takes place within a complex and uncertain environment and involve conflicting systems of criteria (Chen, 2017;Qin et al, 2017). Considering the decision maker's point of view and circumstances in the decision-making process, subjective opinions and judgments are inherently imprecise and involve many uncertainties (Chen, 2014a;Singh and Garg, 2017).…”

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confidence: 99%

A Novel Multiple Criteria Decision-Making Method Using a Likelihood-Based Compromise Approach Under Complex Uncertainty

Wang¹

2017

IJRET

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Keywords: Multiple criteria decision analysis, Interval type-2 fuzzy set, Likelihood index, Approximate ideal,Likelihood-based compromise index. --------------------------------------------------------------------***---------------------------------------------------------------------- INTRODUCTIONMultiple criteria decision analysis (MCDA) often takes place within a complex and uncertain environment and involve conflicting systems of criteria (Chen, 2017;Qin et al., 2017). Considering the decision maker's point of view and circumstances in the decision-making process, subjective opinions and judgments are inherently imprecise and involve many uncertainties (Chen, 2014a;Singh and Garg, 2017). In fuzzy community, Zadeh (1975) introduced fuzzy sets of Type-2, later shortened by others to type-2 fuzzy sets (T2 FSs) and fuzzy sets with interval-valued membership functions, which was later shortened by others to interval-valued fuzzy sets (Mendel, 2007;2010). The concept of T2 FSs is an extension of type-1 fuzzy sets (T1 FSs) and is characterized by a fuzzy membership function, where the degree of membership for any element in this set is a fuzzy number in the interval [0, 1] (Chen, 2013;Zhou et al., 2017). T2 FSs are better than T1 FSs for handling imprecision and uncertainties by modeling vagueness and unreliability of information (Chen, 2017;Zhou et al., 2017). Real-world decisions always require the use of more precise and accurate data (Lai and Chen, 2015); thus, T2 FSs are appropriate for addressing real-life problems if there is insufficient knowledge or experience (Chen, 2014a;2014b;Zhang and Zhang, 2013).However, the membership function of T2 FSs is usually difficult and troublesome to determine, which hinder their practical applications (Siminski, 2017). Resolving the difficulties in establishing and handling the secondary membership functions, interval type-2 fuzzy sets (IT2 FSs) are the most widely used of the higher order fuzzy sets because of their relative simplicity (Mendel, 2007;Siminski, 2017;Wu and Mendel, 2007). IT2 FSs are a simplified version of T2 FSs, and the membership grades of IT2 FSs are crisp intervals (Siminski, 2017;. The theory of IT2 FSs has been well developed in the literature and has been applied productively in the field related to MCDA under uncertainty (Celik and Taskin Gumus, 2016;Chen, 2014a;2014b; Lai and Chen, 2015;Singh and Garg, 2017;Wang and Chen, 2014;Zhang and Zhang, 2013;Zhong and Yao, 2017;Zhou et al., 2017). In particular, interval type-2 trapezoidal fuzzy numbers (IT2 TrFNs), as a special case of IT2 FSs, can efficiently express linguistic ratings and evaluations by objectively transforming them into numerical variables (Chen, 2017;Zhang and Zhang, 2013).

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An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment

Cited by 516 publications

References 47 publications

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

Analysing discussions in social networks using group decision making methods and sentiment analysis

A Novel Multiple Criteria Decision-Making Method Using a Likelihood-Based Compromise Approach Under Complex Uncertainty

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