129 MULTI CRTERIA DECISION MAKING AND ITS APPLICATIONS: A LITERATURE REVIEW Mohamad Ashari Alias I, Siti Zaiton Mohd Hashim I and Supiah Samsudin 2 IFaculty of Computer Science and Information Systems, University Teknologi Malaysia. 81310 Skudai, Johor, Malaysia 2Faculty of Civil Engineering, University Teknologi Malaysia, Malaysia 81310 Skudai, Johor, Malaysia E-mail: l{ashari.sitizaiton}@utm.my.2supiah@utm.my Abstract : This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are collected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM. Keywords: Multiple criteria decision making, Artificial intelligence. 1. INTRODUCTION "Multi-Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process", as defined by the International Society on Multiple Criteria Decision Making[132]. These multiple criteria are typically measured in different units. In this paper, we defme AIMCDM as any approach combining with artificial intelligence used in MCDM and CMCDM as any approach using classical operational research technique which does not related to artificial intelligence. In both approaches there include stand alone and combination of either standard approach or new approach. Articles in this paper are Jilid 20, Bil.2 (Disember 2008) Jurnal Teknologi Maklumat 129 MULTI CRTERIA DECISION MAKING AND ITS APPLICATIONS: A LITERATURE REVIEW Mohamad Ashari Alias l , Siti Zaiton Mohd Hashim I and Supiah Samsudin 2 IFaculty of Computer Science and Information Systems, University Teknologi Malaysia. 81310 Skudai, Johor, Malaysia 2Faculty of Civil Engineering, University Teknologi Malaysia, Malaysia 81310 Skudai, Johor, Malaysia E-mail: l{ashari.sitizaiton}@utm.my.2supiah@utm.my Abstract: This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are coHected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM. Keywords: Multiple criteria decision making, Artificial intelligence. 1. INTRODUCTION "Multi-Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process", as defined by the International Society on Multiple Criteria Decision Making(132]. These multiple criteria are typically measured in different units. In this paper, we defme AIMCDM as any approach combining with artificial intelligence used in MCDM and CMCDM as any approach using classical operational research technique which does not related to artificial intelligence. In both approaches there include stand alone and combination of either standard approach or new approach. Articles in this paper are Jilid 20, Bil.2 (Disember 2008) Jurnal TeknoJogi Maklumat 129 MULTI CRTERIA DECISION MAKING AND ITS APPLICATIONS: A LITERATURE REVIEW Mohamad Ashari Alias l , Siti Zaiton Mohd Hashim I and Supiah Samsudin 2 IFaculty of Computer Science and Information Systems, University Teknologi Malaysia. 81310 Skudai, Johor, Malaysia 2Faculty of Civil Engineering, University Teknologi Malaysia, Malaysia 81310 Skudai, Johor, Malaysia E-mail: l{ashari.sitizaiton}@utm.my.2supiah@utm.my Abstract: This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are coHected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM. Keywords: Multiple criteria decision making, Artificial intelligence. 1. INTRODUCTION "Multi-Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process", as defined by the International Society on Multiple Criteria Decision Making(132]. These multiple criteria are typically measured in different units. In this paper, we defme AIMCDM as any approach combining with artificial intelligence used in MCDM and CMCDM as any approach using classical operational research technique which does not related to artificial intelligence. In both approaches there include stand alone and combination of either standard approach or new approach. Articles in this paper are Jilid 20, Bil.2 (Disember 2008) Jurnal TeknoJogi Maklumat