SOLVING MULTI-CRITERIA DECISION MAKING PROBLEMS USING ARTIFICIAL NEURAL NETWORKS

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ABDOUS M.; MOZAYANI N.

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Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2007 | Volume:5 | Issue:1 Page(s): 47-52

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Information Journal Paper

Title

SOLVING MULTI-CRITERIA DECISION MAKING PROBLEMS USING ARTIFICIAL NEURAL NETWORKS

Author(s)

ABDOUS M. | MOZAYANI N. | Issue Writer Certificate

Keywords

MULTI-CRITERIA DECISION MAKINGQ2

SIMPLE ADDITIVE WEIGHTING METHODQ4

PERCEPTRON NETWORKQ4

ARTIFICIAL NEURAL NETWORKQ2

KOHONEN NETWORKQ4

Abstract

Decision making is finding the best compromised solution from all feasible alternatives. MULTI-CRITERIA DECISION MAKING is one of the most applied branches of decision making. Many methods have been presented for solving MCDM problems ever since. Among these methods, simple additive weighting, SAW, is the most commonly used method. In this paper, two methods are proposed for solving MCDM problems based on ARTIFICIAL NEURAL NETWORKs. This paper shows an application of soft computing techniques in classic problems, such as decision making. Herein, two methods are presented based on both supervised and unsupervised neural networks. The results of the methods have been compared with SAW.

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APA: Copy

ABDOUS, M., & MOZAYANI, N.. (2007). SOLVING MULTI-CRITERIA DECISION MAKING PROBLEMS USING ARTIFICIAL NEURAL NETWORKS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 5(1), 47-52. SID. https://sid.ir/paper/53724/en

Vancouver: Copy

ABDOUS M., MOZAYANI N.. SOLVING MULTI-CRITERIA DECISION MAKING PROBLEMS USING ARTIFICIAL NEURAL NETWORKS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2007;5(1):47-52. Available from: https://sid.ir/paper/53724/en

IEEE: Copy

M. ABDOUS, and N. MOZAYANI, “SOLVING MULTI-CRITERIA DECISION MAKING PROBLEMS USING ARTIFICIAL NEURAL NETWORKS,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 5, no. 1, pp. 47–52, 2007, [Online]. Available: https://sid.ir/paper/53724/en

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