Single-valued neutrosophic ELECTRE II for multi-criteria group decision-making with unknown weight information

Tian, Zhang‐peng; Nie, Ru‐xin; Wang, Xiaokang; Wang, Jianqiang

doi:10.1007/s40314-020-01232-5

Cited by 15 publications

(4 citation statements)

References 64 publications

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“…Based on the bibliometric analysis with 5 minimum numbers of occurrences, 81 of them meet the threshold, and TOPSIS and AHP [29,30], DEMATEL [31], EDAS [32,33], VIKOR [34], MULTIMOORA [35,36], CRITIC [37,38], MABAC [39], SWARA [40], WAS-PAS [41], COPRAS [42], CoCoSo [43], CODAS [44], QUALIFLEX and TODIM [45], PROMETHEE [46], ELECTRE [47], ANP [48,49], and MARCOS [50] are the most frequentlyappeared MCDM methods for neutrosophic approach.…”

Section: Bibliometric Analysis For Neutrosophic Mcdmmentioning

confidence: 99%

Evaluating the Sustainability of Fashion Brands Using a Neutrosophical ORESTE Approach

Karadayi-Usta,

Tirkolaee

2023

Sustainability

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The fashion industry represents a significant source of consumerism within the global economy and requires substantial funding, eco-friendly practices, and ethical attitudes towards human capital, which are the triple bottom line of sustainability. Conscious customers are the key to reshaping the fashion industry by shopping and supporting fashion brands that adopt sustainable practices. Thus, the purpose of this study is to extract the factors affecting the decision-making process of conscious customers in selecting fashion brands adopting ethical and sustainable implementations, to present a case study covering alternative fashion brands, and to evaluate them in terms of sustainability measures. A bibliometric analysis is conducted within the scope of this research to address the most suitable and original decision-making technique; hence, a novel neutrosophic set-based ORESTE approach is proposed to rank the alternative brands. Next, after reaching the case study findings, a sensitivity analysis is conducted to illustrate the parameter changes’ impact on the result in order to validate the findings’ outcomes. Thus, this paper contributes to the literature by proposing a novel approach as an alternative to Besson ranking, extracting sustainable and ethical fashion practices of brands, and identifying the related reports and websites as references to measure sustainability in the fashion industry. The practitioners and managers can comprehend the factors to be taken into consideration by assessing the sustainability status of the particular fashion enterprises and can examine their positions in the global market within their competitors.

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Section: Bibliometric Analysis For Neutrosophic Mcdmmentioning

confidence: 99%

Evaluating the Sustainability of Fashion Brands Using a Neutrosophical ORESTE Approach

Karadayi-Usta,

Tirkolaee

2023

Sustainability

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“…The first category is based on various neutrosophic aggregation operators, such as single-valued neutrosophic number (SVNN) generalized power averaging operator (Liu and Liu, 2018), SVNN weighted geometric averaging (WGA) operator (Refaat and El-Henawy, 2019), and SVNN ordered weighted harmonic averaging operator (Paulraj and Tamilarasi, 2022). The second category is based on kinds of neutrosophic measures (Hezam et al, 2023;Karabasevic et al, 2020;Kumar et al, 2020;Peng and Dai, 2018;Sun et al, 2019;Tian et al, 2020;Zhang et al, 2023). For example, Hezam et al (2023) proposed a neutrosophic discrimination measure-based COPRAS framework, and applied it to evaluate the sustainable transport investment projects.…”

Section: Introductionmentioning

confidence: 99%

Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus

Tian¹,

Xu²,

Nie³

et al. 2023

Informatica

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In practical linguistic multi-criteria group decision-making (MCGDM) problems, words may indicate different meanings for various decision makers (DMs), and a high level of group consensus indicates that most of the group members are satisfied with the final solution. This study aims at developing a novel framework that considers the personalized individual semantics (PISs) and group consensus of DMs to tackle linguistic single-valued neutrosophic MCGDM problems. First, a novel discrimination measure for linguistic single-valued neutrosophic numbers (LSVNNs) is proposed, based on which a discrimination-based optimization model is built to assign personalized numerical scales (PNSs). Second, an extended consensus-based optimization model is constructed to identify the weights of DMs considering the group consensus. Then, the overall evaluations of all the alternatives are obtained based on the LSVNN aggregation operator to identify the ranking of alternatives. Finally, the results of the illustrative example, sensitivity and comparative analysis are presented to verify the feasibility and effectiveness of the proposed method.

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“…Liao et al (2017) proposed two ELECTRE-based MCDM approaches under hesitant fuzzy linguistic environment [33]. Tian et al (2020) put forward a novel MCGDM method suitable to the single-valued neutrosophic environment and weight unknown circumstances [34]. However, no scholars have applied the ELECRE II method to the LZNs context currently.…”

Section: Introductionmentioning

confidence: 99%

A generalized TODIM-ELECTRE II method based on linguistic Z-numbers and Dempster–Shafer evidence theory with unknown weight information

Liu

Wang

et al. 2021

Complex Intell. Syst.

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How to effectively reflect the randomness and reliability of decision information under uncertain circumstances, and thereby improve the accuracy of decision-making in complex decision scenarios, has become a crucial topic in the field of uncertain decision-making. In this article, the loss –aversion behavior of decision-makers and the non-compensation between attributes are considered. Furthermore, a novel generalized TODIM-ELECTRE II method under the linguistic Z-numbers environment is proposed based on Dempster–Shafer evidence theory for multi-criteria group decision-making problems with unknown weight information. Firstly, the evaluation information and its reliability are provided simultaneously by employing linguistic Z-numbers, which have the ability to capture the arbitrariness and vagueness of natural verbal information. Then, the evaluation information is used to derive basic probability assignments in Dempster–Shafer evidence theory, and with the consideration of both inner and outer reliability, this article employed Dempster’s rule to fuse evaluations. Subsequently, a generalized TODIM-ELECTRE II method is conceived under the linguistic Z-numbers environment, which considers both compensatory effects between attributes and the bounded rationality of decision-makers. In addition, criteria weights are obtained by applying Deng entropy which has the ability to deal with uncertainty. Finally, an example of terminal wastewater solidification technology selection is offered to prove this framework’s availability and robustness. The predominance is also verified by a comparative analysis with several existing methods.

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Single-valued neutrosophic ELECTRE II for multi-criteria group decision-making with unknown weight information

Cited by 15 publications

References 64 publications

Evaluating the Sustainability of Fashion Brands Using a Neutrosophical ORESTE Approach

Evaluating the Sustainability of Fashion Brands Using a Neutrosophical ORESTE Approach

Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus

A generalized TODIM-ELECTRE II method based on linguistic Z-numbers and Dempster–Shafer evidence theory with unknown weight information

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