DESIGN OF DATA MINING AND MCDM HYBRID MODEL (CASE STUDY: STATISTICAL CENTER OF IRAN)

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AZAR A.; MAHDAVIRAD A.R.; MOSAKHANI M.

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Paper Information

Journal: Journal of Operational Research in its Applications Year:2015 | Volume:12 | Issue:1 (44) Page(s): 95-111

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Title

DESIGN OF DATA MINING AND MCDM HYBRID MODEL (CASE STUDY: STATISTICAL CENTER OF IRAN)

Author(s)

AZAR A. | MAHDAVIRAD A.R. | MOSAKHANI M. | Issue Writer Certificate

Keywords

DATA MININGQ2

MULTI CRITERIA DECISION MAKING (MCDM)Q2

VIKORQ2

CLUSTERINGQ2

Abstract

Huge volume of data in today’s organizations and society is the result of human great gains in computer science. Today’s managers concerns are not lack of data, but useful use of available data and changing them to information and knowledge, to make the best decision with the lowest percentage of having errors. In recent decades, DATA MINING techniques and multi-criteria decision making methods have helped managers in their decisions in various ways. However, these methods have weaknesses that have led to the continuous search of researchers for designing and using new methods of decision making. In the present study we have attempted to develop a hybrid model of DATA MINING and multi-criteria decision making method to improve the results of both methods. In this context, multi-criteria decision making models can highlight the role of decision makers in the results of decision making. On the other hand, using DATA MINING techniques allows execution of multi-criteria decision making methods on the large quantities of data. After the presentation of the proposed framework for the hybrid model of research, a case study with a suitable database has applied to determine the applicability of the proposed framework. This case study is about the CLUSTERING and ranking households in one of the provinces of Iran using the proposed hybrid model.

Cites

DESIGNING A DISCRIMINATIVE LEARNING MODEL TO IMPROVE BUS ROUTES IN OPTIMAL TRANSIT NETWORK

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APA: Copy

AZAR, A., MAHDAVIRAD, A.R., & MOSAKHANI, M.. (2015). DESIGN OF DATA MINING AND MCDM HYBRID MODEL (CASE STUDY: STATISTICAL CENTER OF IRAN). JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 12(1 (44)), 95-111. SID. https://sid.ir/paper/164412/en

Vancouver: Copy

AZAR A., MAHDAVIRAD A.R., MOSAKHANI M.. DESIGN OF DATA MINING AND MCDM HYBRID MODEL (CASE STUDY: STATISTICAL CENTER OF IRAN). JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2015;12(1 (44)):95-111. Available from: https://sid.ir/paper/164412/en

IEEE: Copy

A. AZAR, A.R. MAHDAVIRAD, and M. MOSAKHANI, “DESIGN OF DATA MINING AND MCDM HYBRID MODEL (CASE STUDY: STATISTICAL CENTER OF IRAN),” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 12, no. 1 (44), pp. 95–111, 2015, [Online]. Available: https://sid.ir/paper/164412/en

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