TY - JOUR
T1 - Extension of information axiom from ordinary to intuitionistic fuzzy sets
T2 - An application to search algorithm selection
AU - Kahraman, Cengiz
AU - Cevik Onar, Sezi
AU - Cebi, Selcuk
AU - Oztaysi, Basar
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Information axiom aims at minimizing the information content of the design in order to determine the best alternative satisfying the required design characteristics. In the literature, information axiom has been extended to fuzzy environment in order to capture impreciseness and vagueness in decision making problems. In the scope of this study, the ordinary fuzzy information axiom has been extended to intuitionistic fuzzy sets which attempt defining a fuzzy set with its membership, non-membership and hesitance. Thus, reflection of decision makers’ hesitancy in information axiom has been better provided. In this paper, to illustrate the applicability of the proposed approach, triangular intuitionistic fuzzy information axiom is applied to uninformed search algorithm selection problem including unweighted, weighted, and multi-expert evaluation cases. The obtained results show the validity and efficiency of the proposed model. One-at-a-time sensitivity analysis is also applied to reveal the robustness of the given decision.
AB - Information axiom aims at minimizing the information content of the design in order to determine the best alternative satisfying the required design characteristics. In the literature, information axiom has been extended to fuzzy environment in order to capture impreciseness and vagueness in decision making problems. In the scope of this study, the ordinary fuzzy information axiom has been extended to intuitionistic fuzzy sets which attempt defining a fuzzy set with its membership, non-membership and hesitance. Thus, reflection of decision makers’ hesitancy in information axiom has been better provided. In this paper, to illustrate the applicability of the proposed approach, triangular intuitionistic fuzzy information axiom is applied to uninformed search algorithm selection problem including unweighted, weighted, and multi-expert evaluation cases. The obtained results show the validity and efficiency of the proposed model. One-at-a-time sensitivity analysis is also applied to reveal the robustness of the given decision.
KW - Information axiom
KW - Intuitionistic fuzzy sets
KW - Ordinary fuzzy sets
KW - Uninformed search algorithms
UR - http://www.scopus.com/inward/record.url?scp=85010952229&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2016.12.012
DO - 10.1016/j.cie.2016.12.012
M3 - Article
AN - SCOPUS:85010952229
SN - 0360-8352
VL - 105
SP - 348
EP - 361
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -