01399nas a2200133   4500008004100000245009000041210006900131260001200200300001200212490000700224520096000231100001801191856005601209       2018                        eng d00aOptimal Web Service Selection Model using Fuzzy Extended AHP and Weighted Sum Method-0 aOptimal Web Service Selection Model using Fuzzy Extended AHP and  c08/2018  a157-1680 v163 a<p>&nbsp;Different services have different values for their different properties (functional and non-functional). Moreover, consumers have different preferences for these properties. Since these preferences may be incomplete/ vague/imprecise, this inevitably can in turn cause selection of a non-optimal service for the consumer which may not have the desired value for these properties for the consumer. Therefore optimal web service selection based on the consumer’s preferences is a challenging task. In this paper, a new service selection model is proposed which considers consumer preferences for different service properties as well as the actual values of its properties. Services are evaluated and priority weights are computed separately for functional and non-functional properties using modified Fuzzy Extended Analytic Hierarchy Process (FEAHP) and Weighted Sum Method (WSM) respectively. Real time data is used to conduct experiments.</p>
1 aKohar, Rachna  uhttp://dline.info/fpaper/jdim/v16i4/jdimv16i4_1.pdf00407nas a2200121   4500008004100000245008900041210006900130260001200199300001200211490000700223100001800230856003700248       2018                        eng d00aOptimal Web Service Selection Model using Fuzzy Extended AHP and Weighted Sum Method0 aOptimal Web Service Selection Model using Fuzzy Extended AHP and  c08/2018  a157-1680 v161 aKohar, Rachna  uhttps://dline.info/newl/node/685