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Linguistic evaluation expressions (high, medium, low) that are shaped by personal perceptions, knowledge, and experience cannot give an exact assessment of numbers and they include uncertainty and hesitancy.
Fuzzy set theory is utilized to cope with ambiguity in the linguistic evaluation of the different design characteristics and supports the analysis of the collected data.
This study improves the shortcomings of traditional analytical hierarchy process (AHP) methods in quantitative judgments, priority analysis, and aggregation performance, and proposes a linguistic evaluation approach for UD.
In addition to UD, the proposed linguistic evaluation approach can be used to systematically assess alternatives from criteria that are relevant to a set of qualitative attributes.
In this paper a base linguistic evaluation set is designed, based on which all the other fuzzy term sets that used for describing security attributes are uniformed and integrated for calculating an overall security value of the services.
The defendants' plea to hold a fresh psychological and linguistic evaluation of their protest song was also rejected.
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Finally, fuzzy weights are designed to obtain the subjective linguistic evaluations among consumers.
Fuzzy set theory is adopted to resolve the ambiguities involved in assessing SCM alternatives and aggregating the linguistic evaluations.
To dampen this ranking ambiguity, we designed a set of supplemental methods to construct a revised TOPSIS approach with linguistic evaluations.
Then, the fuzzy AHP (Analytic Hierarchy Process) method is used to determine the weights of the different criteria considered from the linguistic evaluations provided by different experts.
The paper contributes to literature by presenting a novel approach for incorporating subjective and often conflicting linguistic evaluations of a decision committee into a solid decision support model approach for selecting the most suitable RFID service provider.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com