Schemes Selection of Yarn Tension Detection and Control Based on Fuzzy Multiple Attribute Group Decision Making

Author

Ni Minna ; Li Yan

Author_Institution

Coll. of Mech. Eng., Donghua Univ., Shanghai, China

fYear

2013

fDate

21-23 July 2013

Firstpage

188

Lastpage

192

Abstract

A fuzzy multiple-attribute group decision making method is proposed for the design schemes evaluation of the yarn tension detection and control schemes in rapier looms. Firstly, important degrees of every attributes from each expert are considered. The individual opinions of each expert are integrated with the similarity of the decision group. And the synthesized weights of each expert are calculated. Secondly, with the aggregation of experts´ opinions, the group attribute-weights matrixes are obtained. Then the fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) are used to sequence the alternatives, and the optimal scheme is decided for yarn tension detection and control system, the decision results illustrate the feasibility and effectiveness of the developed method.

Keywords

decision making; design engineering; fuzzy set theory; matrix algebra; textile machinery; yarn; decision group similarity; design scheme evaluation; expert opinions; fuzzy TOPSIS; fuzzy multiple attribute group decision making; group attribute weight matrices; optimal scheme selection; rapier looms; technique for order preference by similarity to an ideal solution; yarn tension control; yarn tension detection; Control systems; Decision making; Educational institutions; Pragmatics; Voltage measurement; Weaving; Yarn; Fuzzy Multiple-Attribute Group Decision Making; TOPSIS; alternatives selection; synthesized weights; yarn tension detection and control;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanical and Automation Engineering (MAEE), 2013 International Conference on

Conference_Location

Jiujang

Type

conf

DOI

10.1109/MAEE.2013.55

Filename

6602168