Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology

Maldonado-Macías, Aidé Aracely; Alvarado, Alejandro; García, Jorge Luis; Balderrama, Cesar Omar

doi:10.1007/s00170-013-5444-5

Cited by 51 publications

(18 citation statements)

References 28 publications

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“…In the literature, advanced fuzzy sets such as Type 2 fuzzy sets Chen and Lee, 2010), intuitionistic fuzzy sets (Xu and Liao, 2014;Maldonado et al, 2014) and hesitant fuzzy sets (Onar et al, 2014) were released. This study considered Type 1 fuzzy numbers in the field of MCDM.…”

Section: Discussionmentioning

confidence: 99%

An integrated fuzzy multi criteria group decision making approach for ERP system selection

Efe

2016

Applied Soft Computing

116

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Section: Discussionmentioning

confidence: 99%

An integrated fuzzy multi criteria group decision making approach for ERP system selection

Efe

2016

Applied Soft Computing

116

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“…Therefore, it is difficult to encounter problems of uncertain or incomplete data. There are several authors who have proposed MCDM methods using fuzzy set theory or intuitionistic fuzzy set for the supplier selection (Boran et al, 2009;Kavita et al, 2009;Yayla, 2012;Maldonado-Macías et al, 2014;Pérez et al, 2015;Omorogbe, 2016;Solanki et al, 2016;Zeng and Xiao, 2016).…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Criteria Decision Making Method for Evaluating Water Reuse Applications under Uncertainty

Nguyen

2019

vjas

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There are currently many places in the world where water is scarce. Therefore, water reuse has been mentioned by many researchers. Evaluation of water reuse applications is the selection of the best water reuse application of the existing options; it is also one of the applications of multi-criteria decision making (MCDM). In this paper, we introduce a new dissimilarity measure of picture fuzzy sets. This new measure overcomes the restriction of other existing dissimilarity measures of picture fuzzy sets. Then, we apply it to the multi-criteria decision making. Finally, we refer to a new method for selecting the best water reuse application of the available options by using the picture fuzzy MCDM.

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“…Xu and Zhang [16] developed a new MADM approach by integrating the TOPSIS and maximizing deviation methods, in which the evaluation information provided by the decision-maker is described as hesitant fuzzy elements, and the information about attribute weights is incomplete. Maldonado-Macías et al [17] proposed an intuitionistic fuzzy TOPSIS for evaluating advanced manufacturing technology considering ergonomic compatibility attributes, and applied it to the selection of numerically controlled milling machines. Arabzad et al [18] evaluated suppliers according to the criteria arising from strengths, weaknesses, opportunities and threats analysis in the MADM of suppliers, and solved the resulting MADM problem by fuzzy TOPSIS.…”

Section: Introductionmentioning

confidence: 99%

Structural Optimization of a High-Speed Press Considering Multi-Source Uncertainties Based on a New Heterogeneous TOPSIS

et al. 2018

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Abstract:In order to achieve high punching precision, good operational reliability and low manufacturing cost, the structural optimization of a high-speed press in the presence of a set of available alternatives comprises a heterogeneous multiple-attribute decision-making (HMADM) problem involving deviation, fixation, cost and benefit attributes that can be described in various mathematical forms due to the existence of multi-source uncertainties. Such a HMADM problem cannot be easily resolved by existing methods. To overcome this difficulty, a new heterogeneous technique for order preference by similarity to an ideal solution (HTOPSIS) is proposed. A new approach to normalization of heterogeneous attributes is proposed by integrating the possibility degree method, relative preference relation and the attribute transformation technique. Expressions for determining positive and negative ideal solutions corresponding to heterogeneous attributes are also developed. Finally, alternative structural configurations are ranked according to their relative closeness coefficients, and the optimal structural configuration can be determined. The validity and effectiveness of the proposed HTOPSIS are demonstrated by a numerical example. The proposed HTOPSIS can also be applied to structural optimization of other complex equipment, because there is no prerequisite of independency among various attributes for its application.

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Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology

Cited by 51 publications

References 28 publications

An integrated fuzzy multi criteria group decision making approach for ERP system selection

An integrated fuzzy multi criteria group decision making approach for ERP system selection

A Novel Multi-Criteria Decision Making Method for Evaluating Water Reuse Applications under Uncertainty

Structural Optimization of a High-Speed Press Considering Multi-Source Uncertainties Based on a New Heterogeneous TOPSIS

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