Abstract:
Effcctlve deClslOns are at the heart of ,uccess, and at timcs there are critical
moments when they can bc difficult, perplexing, and ncrve racking, So a realistic
decIsion making is the key to success [or a business organization, Inherent
comp1cxity and uncertainty in a busine5s enviromnent necessitates the participation
of many experts in the decision-making process. The use of linguistic labels makcs
expert judgment more reliable and infonnative for decision-making but makes the
aggregation or linguistic labels comphcated, especially when considering multi
expert multi critelia situation.
To address the uncertainty during decision making Alpha-cut which is a fuzzy
algehra has been used to get a crisp ra.nge from a fllZZYrange. To enlighten the
effects of unccrtainty in expert knowledge, objective of this researeh was to
perform a scnslliv;ty analysis by using thc ra.nge oftrulh-value using alpha-cut and
see how the decision is alTccted. It is performed by incorporating lhe scope or
modeling human aspects (hy introducing optimism index (I,)) like "Fair", "Benefit
or doubt", "Conservative" by choo"ing appropriate truth value rrom the above crisp
range, obsen'e v,'hal significant difference each of the choices make, and how thc
variatIOn affects the final decision. To integrate the opportunity of taking multicxpert
opinion and the conflict aggregation, possibility measure and averaging
method ha\'e been used. Las(]y a declsion Slipport system has been developed
based on the proposed algorithm, A case sl\ldy has becn presented here by using
this decision support system lo compare both oJ the conflict aggregation measure
possibility meaSUTe& averagmg as well as sensitivity analysis has been performed
to see how the decision is arfceted.
