NDLI: Multi-Criteria Decision Making for Group Decision Support System

Content Provider	IEEE Xplore Digital Library
Author	Rosanty, E.S. Dahlan, H.M. Razak Che Hussin, A.
Copyright Year	2012
Description	Author affiliation: Information System Department, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Johor, Malaysia (Rosanty, E.S.; Dahlan, H.M.; Razak Che Hussin, A.)
Abstract	Group Decision Support System (GDSS) is suitable if used in decision-related meeting as a medium for them to share ideas, extract and analyze the information, and making decision. However, making decision is more complex where multiple criteria, conflict, and judgment need to be considered, which referred to as Multi-Criteria Decision Making (MCDM). Therefore, a suitable technique is preferred to solve the multi-criteria problem in GDSS. Many authors have developed fuzzy AHP method in order to solve MCDM problem because of its ability to extend the strength of Analytical Hierarchy Process (AHP) with fuzzy set theory which able to consider vagueness and both quality and quantity factors. In spite of its strength and ability to solve MCDM problem, fuzzy AHP still contains mathematical calculations which is considered quite complicated for some people, and lack of voting opportunity for the decision makers. Thus, another method in MCDM is introduced here, which is the Social Choice (SC) method along with its ability to give opportunity of voting for the decision makers. In this study, the author will append the SC method in the last steps of fuzzy AHP decision making process in order to let the decision makers to directly involve in the most important part of decision making.
Starting Page	105
Ending Page	109
File Size	230535
Page Count	5
File Format	PDF
ISBN	9781467310918
e-ISBN	9781467310901
DOI	10.1109/InfRKM.2012.6205015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-13
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Schedules Analytical models Aggregates Decision making Social choice method Multi-criteria decision making Data mining Fuzzy AHP Group decision support system Information systems
Content Type	Text
Resource Type	Article

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