Similarity-based method for multiresponse optimization problems with intuitionistic fuzzy sets-Reference-Cited by-同舟云学术

Similarity-based method for multiresponse optimization problems with intuitionistic fuzzy sets

Published:2013-05-23 Issue:6 Volume:227 Page:908-916
ISSN:0954-4054
Container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Author:

Peng Jen-Ping¹,Yeh Wei-Ching¹,Lai Tsung-Chih²,Hsu Chi-Pin³

Affiliation:

1. Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan (R.O.C.)

2. Cloud Computing Business Unit, Quanta Computer Inc., Taoyuan, Taiwan

3. Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)

Abstract

In considering an engineer’s opinion in optimizing a multiresponse problem, attention must be paid to vagueness and hesitancy in revealing his or her perceptions of a fuzzy concept such as “importance” or “excellence.” Recently, the notion of intuitionistic fuzzy sets has been found to be more effective than that of fuzzy sets for dealing with vagueness and hesitancy. However, little research has been done on optimizing multiresponse problems using intuitionistic fuzzy sets. This article focuses on state systems and explores optimization of multiresponse problems with intuitionistic fuzzy sets, in which the importance of each response is given by an engineer as intuitionistic fuzzy set. A novel optimization procedure is proposed that is based on a measure of similarity between intuitionistic fuzzy sets. To demonstrate the efficiency and effectiveness of the proposed method, two case studies are provided–one of plasma-enhanced chemical vapor deposition and the other the copper chemical mechanical polishing.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/0954405412473877

Reference33 articles.

1. Off-Line Quality Control, Parameter Design, and the Taguchi Method

2. Quality optimization (multi-characteristics) through Taguchi's technique and utility concept

3. Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis

4. Using PCR-TOPSIS to optimise Taguchi's multi-response problem

5. Multi-response optimization using weighted principal component

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spherical Fuzzy VIKOR with SWAM and SWGM Operators for MCDM;Decision Making with Spherical Fuzzy Sets;2020-05-28

2. An extension of VIKOR method for multi-attribute decision-making under Pythagorean hesitant fuzzy setting;Granular Computing;2018-06-13

3. Evidential Supplier Selection Based on DEMATEL and Game Theory;International Journal of Fuzzy Systems;2017-10-25

4. Extended VIKOR Method for Intuitionistic Fuzzy Multiattribute Decision-Making Based on a New Distance Measure;Mathematical Problems in Engineering;2017

5. A state of the art literature review of VIKOR and its fuzzy extensions on applications;Applied Soft Computing;2016-09