RT Journal Article
T1 A New Fuzzy KEMIRA Method With an Application to Innovation Park Location Analysis and Selection
A1 Soltanifar, Mehdi
A1 Tavana, Madjid
A1 Santos-Arteaga, Francisco J.
A1 Charles, Vincent
A1 Santos Arteaga, Francisco Javier
AB This study introduces a novel approach named the fuzzy Kemeny median indicator ranks accordance (KEMIRA) method tailored for multiattribute decision making (MADM) while capturing and processing the uncertainties inherent in complex problems. We explore preferential voting to enhance MADM models, rewriting it as a linear programming (LP) problem with weight restrictions. Our fuzzy KEMIRA model leverages LP to ascertain optimal priorities and weights for each feature, guided by discrimination intensity functions. To illustrate the effectiveness of our approach, we utilize a well-known numerical example from the literature. We also present a case study describing the location selection of an innovation park constrained by experts’ subjective judgments across various attributes. Through comparative analyses with hesitant fuzzy KEMIRA and stochastic KEMIRA, we demonstrate our proposed fuzzy KEMIRA method's higher flexibility and reduced computational burden. By emphasizing these attributes, we underscore the versatility of our method, which applies to a broad spectrum of MADM problems that go well beyond specific instances.
PB IEEE
SN 0018-9391
SN 1558-0040
YR 2024
FD 2024
LK https://hdl.handle.net/20.500.14352/110557
UL https://hdl.handle.net/20.500.14352/110557
LA eng
NO Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., & Charles, V. (Accepted/In press). A New Fuzzy KEMIRA Method with an Application to Innovation Park Location Analysis and Selection. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2024.3471876
DS Docta Complutense
RD 8 abr 2025