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Multi-Criteria Decision Analysis by Using Fuzzy VIKOR

Authors: Tien-chin Wang; Jia-ling Liang; Chun-yen Ho;

Multi-Criteria Decision Analysis by Using Fuzzy VIKOR

Abstract

Decision or selection making is a vital part of daily life; of which the major concern is that almost all issues requiring decisions have multiple, often conflicting, criteria. In reality, there is no avoidance of the coexistence of qualitative and quantitative data, and the data are often full of fuzziness and uncertainty. In order to mediate the conflicts and contradictions in the reconciliatory process and act in response to the lack of flexibility while adopting traditional multi-criteria method to solve fuzzy problems, the study intends to use Fuzzy VIKOR methods to solve fuzzy multi-criteria decision-making problems. Fuzzy VIKOR aims to find the decision-maker's preferable compromise that suits human objective cognition. In this paper, we use case analysis to sort out the systematic solution process, and eventually come up with a best solution and compromise solution that can be an important reference of decision-making. Finally, our conclusion and suggestion for advanced works are also offered.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Average
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