V. Lakshmana Gomathi Nayagam
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View article: A Total Ordering on n - Valued Refined Neutrosophic Sets using Dictionary Ranking based on Total ordering on n - Valued Neutrosophic Tuplets
A Total Ordering on n - Valued Refined Neutrosophic Sets using Dictionary Ranking based on Total ordering on n - Valued Neutrosophic Tuplets Open
The notion of fuzzy subsets was first introduced by Zadeh in 1965, and was later extended to intuitionistic fuzzy subsets by Atanassov in 1983. Since the inception of fuzzy set theory, we have encountered a number of generalizations of set…
View article: A Novel Similarity Measure Based on Accuracy Score of Conventional Type of Trapezoidal-Valued Intuitionistic Fuzzy Sets and Its Applications in Multi-criteria Decision-Making Problems
A Novel Similarity Measure Based on Accuracy Score of Conventional Type of Trapezoidal-Valued Intuitionistic Fuzzy Sets and Its Applications in Multi-criteria Decision-Making Problems Open
The article aims to investigate the distance measure between any two conventional type trapezoidal-valued intuitionistic fuzzy sets (CTrVIFSs) whose membership and non-membership grades of an element are expressed as conventional trapezoid…
View article: A Total Order on Single Valued and Interval Valued Neutrosophic Triplets
A Total Order on Single Valued and Interval Valued Neutrosophic Triplets Open
L.A.Zadeh (1965) proposed the concept of fuzzy subsets, which was later expanded to include intuitionistic fuzzy subsets by K.Atanassov (1983). We have come across several generalisations of sets since the birth of fuzzy sets theory, one o…
View article: Total Ordering on Generalized ‘n’ Gonal Linear Fuzzy Numbers
Total Ordering on Generalized ‘n’ Gonal Linear Fuzzy Numbers Open
Zadeh introduced fuzzy sets to study imprecision in real life after which many generalizations have been developed in literature. Fuzzy numbers is the major research area of study because of its needfulness for modeling qualitative and imp…
View article: Hexagonal fuzzy approximation of fuzzy numbers and its applications in MCDM
Hexagonal fuzzy approximation of fuzzy numbers and its applications in MCDM Open
Numerous research papers and several engineering applications have proved that the fuzzy set theory is an intelligent effective tool to represent complex uncertain information. In fuzzy multi-criteria decision-making (fuzzy MCDM) methods, …
View article: A New Ranking Principle For Ordering Trapezoidal Intuitionistic Fuzzy Numbers
A New Ranking Principle For Ordering Trapezoidal Intuitionistic Fuzzy Numbers Open
Modelling real life (industrial) problems using intuitionistic fuzzy numbers is inevitable in the present scenario due to their efficiency in solving problems and their accuracy in the results. Particularly, trapezoidal intuitionistic fuzz…
View article: Complete Ranking of Intuitionistic Fuzzy Numbers
Complete Ranking of Intuitionistic Fuzzy Numbers Open
Fuzzy number was introduced by Dubois and Prade [10] to handle imprecise numerical quantities. Later it was generalized to intuitionistic fuzzy number by Burillo et al. [5]. Ranking intuitionistic fuzzy numbers plays an important role in d…