Publication | Closed Access
Ranking of intuitionistic fuzzy numbers
91
Citations
15
References
2008
Year
Unknown Venue
Fuzzy Multi-criteria Decision-makingFuzzy SubsetsFuzzy LogicIntuitionistic Fuzzy SubsetsEngineeringFuzzy ComputingData MiningFuzzy MathematicsIntuitionistic FuzzyDiscrete MathematicsDecision TheoryFuzzy ClusteringFuzzy Pattern RecognitionIntuitionistic Fuzzy Numbers
The notion of fuzzy subsets was introduced by L.A.Zadeh (1965) and it was generalised to intuitionistic fuzzy subsets by K.Atanassov [1]. After the invention of intuitionistic fuzzy subsets, many real life problems are studied accurately [7, 13, 14]. The measure of fuzziness was studied in [12, 16]. The ranking of intuitionistic fuzzy numbers plays a main role in modelling many real life problems involving intuitionistic fuzzy decision making, intuitionistic fuzzy clustering. H.B.Mitchell introduced a method of ranking intuitionistic fuzzy numbers in [10]. In this paper, a new method of intuitionistic fuzzy scoring to intuitionistic fuzzy numbers that generalizes Chen and Hwangpsilas scoring method for ranking of intuitionistic fuzzy numbers has been introduced and studied.
| Year | Citations | |
|---|---|---|
Page 1
Page 1