Original scientific paper

Multi-attribute extension fuzzy optimized decision-making model of scheme design

Ti-chun Wang ; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 344#, NO. 29 yudao street, Nanjing 210016, China
Ai-jun Yang ; Nanjing University of Aeronautics and Astronautics, 344#, NO. 29 yudao street, Nanjing 210016, China
Shi-sheng Zhong ; School of Mechatronics Engineering, Harbin Institute of Technology, NO. 92 xidazhi street, Harbin 150001, China

Abstract

Due to the uncertain interval and the incomplete attribute information in the procedure of the complex mechanism scheme design, a computing method for the multi-attribute extension decision making of fuzzy number is proposed. The proposed model for the multi-attribute extension decision making of fuzzy number is developed based on the fuzzy system theory and the extension theory. By adopting the fuzzy-matter element, the multiple-attribute extension decision making matrix is standardized, and the dummy ideal region and the negative ideal region of fuzzy-matter element with integrated attribute information are proposed. Then, the extension distance of fuzzy information is presented, and the synthetic weights of indexes that include both subjective preference and objective information are given based on the extension distance. Based on the extension fuzzy optimal membership degree of design schemes, the optimum design scheme is achieved in the whole system. Finally, an example is provided to examine the model and algorithm.

Keywords

extension theory; fuzzy-matter element; multi-attribute decision making; scheme design

Hrčak ID:

120373

URI

https://hrcak.srce.hr/120373

Publication date:

26.4.2014.

Article data in other languages: croatian

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