Taxonomy Method for Multiple Attribute Group Decision Making Under the Spherical Fuzzy Environment

Diao, Fengxia; Cai, Qiang; Wei, Guiwu

doi:10.15388/22-infor497

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…In the current paper, we put emphasis on the Barron and Barrett (1996)'s notion who stated that various subjective methods for eliciting the exact weights from the DM may suffer on several counts, because the results are highly dependent on the elicitation method and there is no agreement as to which weighting method generates more valid weights. On the other hand, we know that in recent years, the multi-criteria group decision making situations have received extensive attention (Diao et al, 2022). In such situations, reaching a consensus regarding the weights of several criteria is difficult particularly when precise weights are required from the DMs (Sureeyatanapas et al, 2018;Danielson and Ekenberg, 2016;Ahn and Park, 2008a).…”

Section: Introductionmentioning

confidence: 99%

An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem

Hatefi¹

2023

Informatica

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The focus of this paper is on the criteria weight approximation in Multiple Criteria Decision Making (MCDM). An approximate weighting method produces the weights that are surrogates for the exact values that cannot be elicited directly from the DM. In this field, a very famous model is Rank Order Centroid (ROC). The paper shows that there is a drawback to the ROC method that could be resolved. The paper gives an idea to develop a revised version of the ROC method called Improved ROC (IROC). The behaviour of the IROC method is investigated using a set of simulation experiments. The IROC method could be employed in situations of time pressure, imprecise information, etc. The paper also proposes a methodology including the application of the IROC method in a group decision making mode, to estimate the weights of the criteria in a tree-shaped structure. The proposed methodology is useful for academics/managers/decision makers who want to deal with MCDM problem. A study case is examined to show applicability of the proposed methodology in a real-world situation. This case is engine/vehicle selection problem, that is one of the fundamental challenges of road transport sector of any country.

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Section: Introductionmentioning

confidence: 99%

An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem

Hatefi¹

2023

Informatica

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An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics

Chen

2024

Advanced Engineering Informatics

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An extended technique for multiple attribute decision making under single-valued neutrosophic sets and applications to grain fermentation process quality evaluation

Wang

2023

IFS

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Fermentation engineering is a technology that uses engineering technology to produce useful biological products for human beings by using certain functions of organisms (mainly microorganisms) and active isolated enzymes, or to directly control certain industrial production processes with the participation of microorganisms. With the progress of science and technology, fermentation technology has also developed greatly, and has entered the stage of modern fermentation engineering that can artificially control and modify microorganisms to make these microorganisms produce products for human beings. As an important part of modern biotechnology, modern fermentation engineering has a broad application prospect. The grain fermentation process quality evaluation is a classical MADM issues. In such paper, the generalized weighted Bonferroni mean (WBM) operator is constructed for MADM with single-valued neutrosophic sets (SVNSs). Then, the generalized single-valued neutrosophic number WBM (GSVNNWBM) operator is built and then the MADM decision methods are proposed based on the GSVNNWBM operator. Finally, an example about grain fermentation process quality comprehensive evaluation and some comparative analysis were given to demonstrate the GSVNNWBM method.

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Taxonomy Method for Multiple Attribute Group Decision Making Under the Spherical Fuzzy Environment

Cited by 5 publications

References 37 publications

An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem

An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem

An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics

An extended technique for multiple attribute decision making under single-valued neutrosophic sets and applications to grain fermentation process quality evaluation

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