Fuzzy Linguistic Decision Analysis for Web Server System Future Planning

Web administrators’ prioritization of several upgrading alternatives with respect to multiple contradictory criteria involve fuzziness and impreciseness of human’s subjective judgements in a Web server system. In this paper, fuzzy concepts are used to enhance the traditional Analytic Hierarchy Process (AHP) which are mainly applied in crisps decision environment. The entropy weight proposed by Don-Lin Mon[1] is implemented to evaluate the upgrading alternatives priority in a Web server system. Fuzzy numbers act as a reference to indicate the influence strength of each element in the hierarchy structure. α-cut-based method is utilized to prevent the controversial of fuzzy number ranking process where the fuzzy judgement matrix is reconstructed into an interval fuzzy judgement matrix. Fuzzy linguistic term approach is applied to capture the fuzziness and subjectiveness of Web administrators’ judgements.