1 edition of Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets found in the catalog.
|LC Classifications||Feb 04, 2020|
|The Physical Object|
|Pagination||xvi, 63 p. :|
|Number of Pages||53|
nodata File Size: 10MB.
20 198687-96. TOPSIS method based on correlation coefficient for solving decision-making problems with intuitionistic fuzzy soft set information[J].
Precise numerical values in HFSs can be replaced by IVIFSs, which provide more preference information for decision-makers. Liu HW, Wang GJ 2007 Multicriteria decision-making methods based on intuitionistic fuzzy sets. Hong DH, Choi CH 2000 Multicriteria fuzzy decision-making problems based on vague set theory.114 2000505-518. Some valuable proposals of these operators are studied. Gargov, Interval-valued intuitionistic fuzzy sets, Fuzzy Set.25 20041603-1611.
In view of these techniques, an approach is presented to solve decision-making problems by utilizing the proposed TOPSIS method based on correlation measures. At last, an illustrative example is enlightened to demonstrate the appropriateness of the proposed approach. 660 ][ 0. 1 The hesitant interval-valued intuitionistic fuzzy algebraic aggregation operators in are illustrated as follows. Then, some operations on HIVIFSs are introduced in detail, and their properties are further discussed.
A fuzzy multicriteria decision making method is established to select the best alternative in multicriteria decision making process which is taken as interval-valued intuitionistic fuzzy set of criterion values for alternatives.56 2017446-457.
The conspicuous characteristic of this mathematical concept is that it considers two distinctive sorts of information, namely the membership and non-membership degrees. HFSs are highly useful in handling the situations where people have hesitancy in providing their preferences over objects in the decision-making process. Arora, Bonferroni mean aggregation operators under intuitionistic fuzzy soft set environment and their applications to decision-making, Journal of the Operational Research Society, 69 20181711-1724.
Nayagam VLG, Venkateshwari G, Sivaraman G 2008 Ranking of intuitionistic fuzzy numbers.
, 38 2016 , 988-999.
In particular, some hesitant interval-valued intuitionistic fuzzy algebraic aggregation operators are proposed based on algebraic t-conorms and t-norms.
Gorzaleczany MB 1987 A method of inference in approximate reasoning based on interval-valued fuzzy sets.
The definition of hesitant interval-valued intuitionistic fuzzy sets HIVIFSs is developed based on interval-valued intuitionistic fuzzy sets IVIFSs and hesitant fuzzy sets HFSs.
, 22 2018 , 4959-4970.