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题目：A New Approach to Multi-objective Programming based on Satisfied Degree under Fuzzy Environment
作者：Jingduo Jie ；Fachao Li ; Chenxia Jin
Published in:
Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
Date of Conference:
24-27 Nov. 2015
Page(s):
462 - 467
Print ISBN:
978-1-4673-9322-5
INSPEC Accession Number:
15719214
Conference Location :
Taipei
DOI:
10.1109/ISKE.2015.23
Publisher:
IEEE

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Accession number:

15719214

Title:

A New Approach to Multi-objective Programming based on Satisfied Degree under Fuzzy Environment

Authors:

Jingduo Jie1 ; Fachao Li1 ; Chenxia Jin1

Author affiliation:

1Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

Source:

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). Proceedings

Publication date:

2015

Pages:

462-7

Language:

English

ISBN-13:

978-1-4673-9323-2

Document type:

Conference article (CA)

Conference name:

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

Conference date:

24-27 Nov. 2015

Conference location:

Taipei, Taiwan

Publisher:

IEEE Computer Society

Place of publication:

Los Alamitos, CA, USA

Material Identity Number:

YXB6-1900-189

Abstract:

Fuzziness is a common uncertainty who exists widespread in decision process and how to process fuzziness is a widespread context in academic and application fields. For the multi-objective programming under fuzzy environment, this paper firstly analyze the essential characteristics of fuzzy objectives. Then fuzzy objectives are divided into three kinds and represent by fuzzy number by introducing deviation parameter α . Then, regarding membership of fuzzy number as the satisfied degree, we establish the multi-objective programming based on satisfied degree (denotes as MP-SD) and a new solving strategy based on MP-SD is further given. Finally, we illustrate the validity of MPSD through a case. The analytical results show that the proposed approach is effective in fuzzy decision environment and provide rich decision theories for integrated multi-objective programming problems in artificial intelligence and resource management and so on.

Number of references:

13

Inspec controlled terms:

computability - decision making - decision theory - fuzzy set theory - resource allocation

Uncontrolled terms:

multiobjective programming based on satisfied degree - MP-SD - fuzzy decision environment - decision process - fuzzy number membership - decision theory - resource management

Inspec classification codes:

C1290 Applications of systems theory - C4240 Programming and algorithm theory - C4210 Formal logic - C1160 Combinatorial mathematics - C1140E Game theory

Treatment:

Theoretical or Mathematical (THR)

Discipline:

Computers/Control engineering (C)

DOI:

10.1109/ISKE.2015.23

Database:

Inspec

Copyright 2016, The Institution of Engineering and Technology

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