A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM

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GHAZANFARI M.; NOUJAVAN M.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH) Year:2003 | Volume:14 | Issue:4 Page(s): 105-119

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Title

A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM

Author(s)

GHAZANFARI M. | NOUJAVAN M. | Issue Writer Certificate

Keywords

0-1 MULTI-OBJECTIVE KNAPSACK PROBLEM

QUALITATIVE OBJECTIVES

FUZZY RULE-BASED SYSTEM

GENETIC ALGORITH

MULTIPLE ATTRIBUTES DECISION MAKING (MADM)

Abstract

This paper develops an approach to solve 0-1 multiple attribute knapsack problem (MAKP) in which some objectives are qualitative. The approach consists of two modules. The first module is a fuzzy expert system that evaluates the QUALITATIVE OBJECTIVES. Acting as a framework, the second module generates the different combinations and finds the (near) optimal solution using a GENETIC ALGORITHm model. The results of conducted experiments show the capability of proposed approach to deal with MAKP problems.

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APA: Copy

GHAZANFARI, M., & NOUJAVAN, M.. (2003). A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), 14(4), 105-119. SID. https://sid.ir/paper/528480/en

Vancouver: Copy

GHAZANFARI M., NOUJAVAN M.. A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)[Internet]. 2003;14(4):105-119. Available from: https://sid.ir/paper/528480/en

IEEE: Copy

M. GHAZANFARI, and M. NOUJAVAN, “A HYBRID FUZZY EXPERT SYSTEM AND GENETIC ALGORITHM APPROACH TO SOLVE 0-1 MULTI-ATTRIBUTE KNAPSACK PROBLEM,” INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), vol. 14, no. 4, pp. 105–119, 2003, [Online]. Available: https://sid.ir/paper/528480/en

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