Open AccessOn Generalized Intuitionistic Fuzzy Knowledge Measure and its Application in MADM using Combined Weights
Author(s) -
Surender Singh,
Sunil Sharma
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2186.078219
Subject(s) - measure (data warehouse) , mathematics , fuzzy set , fuzzy measure theory , set (abstract data type) , fuzzy logic , type (biology) , computer science , fuzzy classification , data mining , artificial intelligence , ecology , biology , programming language
The role of the fuzzy sets is eminent in the study of the ambiguous type of information. Generalizations and extensions of fuzzy sets have led to a broader analysis of these types of researches. In this communication, we suggest a generalized knowledge measure of an intuitionistic fuzzy set (IFS). We compare several existing intuitionistic fuzzy entropies and knowledge measures with our proposed intuitionistic fuzzy (IF) knowledge measure which indicates that the proposed IF-knowledge measure has a greater ability in discriminating different IFSs. We also apply our proposed intuitionistic fuzzy knowledge measure in multi-attribute decision-making (MADM) problem by using combined weights i.e., objective and subjective attribute weights.