Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2017 -> Volume 9, Issue 2, June

Parametric (R,S)-norm Entropy on Intuitionistic Fuzzy Sets with a New Approach in Multiple Attribute Decision Making

Journal from gdlhub / 2017-08-22 10:04:30
Oleh : Rajesh Joshi, Satish Kumar, Fuzzy Information and Engineering
Dibuat : 2017-06-22, dengan 1 file

Keyword : Intuitionistic fuzzy entropy(R,S)-norm intuitionistic fuzzy entropyMultiple attribute decision makingTOPSISWeighted hamming distance
Url : http://www.sciencedirect.com/science/article/pii/S1616865817301413
Sumber pengambilan dokumen : web

The theory of intuitionistic fuzzy sets (IFSs) is well suitable to deal with vagueness and hesitancy. In the present communication, a new parametric (R,S)-norm intuitionistic fuzzy entropy is proposed with the proof of validity and some of its properties also discussed. The intuitionistic fuzzy entropy is useful to represent the decision information in decision making process since it is characterized by the degree of satisfiability, degree of non-satisfiability and hesitancy degree. Based on this proposed IF entropy, a new multiple attribute decision making (MADM) method is introduced and compared with an existing method. In case of attributes weight, two cases (one with completely unknown attributes weight and other with partially known attributes weight) are discussed with the help of examples. In the end, a case study of insurance companies on the basis of service qualitities is given.

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OrganisasiFuzzy Information and Engineering
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