In this paper, we introduce the aggregation operator of IFPIFS set and apply this operator in a hypothetical decision making problem involving attributes and parameters that are subjective in nature. Specifically, this operator is applied in a decision making problem involving the selection of the best candidate for a vacant position in an organization. Next, we introduce an algorithm called the intuitionistic fuzzy (IF) reduction method which involves the reduction of the original IFPIFS set into an IF set and subsequently a fuzzy set which would then be used to determine the optimal solution for the problem. We demonstrate the application of this algorithm in an object recognition problem which involves subjective and uncertain data.
As an extension of intuitionistic fuzzy sets, the theory of picture fuzzy sets not only deals with t...
This paper introduces a new intuitionistic fuzzy multicriteria decision making method of evaluation ...
[EN]Under uncertainty, traditional sets may not be sufficient to represent real-world phenomena, and...
In general most of the real life problem of decision making involve imprecise parameters. In recent ...
AbstractThe concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets....
Intuitionistic fuzzy set is a very useful tool to depict uncertainty. Lots of multi-criteria group d...
The objective of this paper is to present novel algorithms for solving the multiple attribute decisi...
AbstractThe problem of decision making in an imprecise environment has found paramount importance in...
We delve into the application of two operational transformation techniques that represent a single i...
The abundant growth of variations in intuitionistic fuzzy sets has posed a challenge in assessing th...
In a conventional interpretation of decision-making based on ambiguity, a decision-maker must prefer...
The selection of a suitable fi nancing alternative involves multifarious attributes that should be a...
AbstractWith respect to decision-making problems by using probabilities, immediate probabilities and...
This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy val...
In 1965, L.A Zadeh inaugurated the idea of fuzzy set theory by extrapolating classical set theory. L...
As an extension of intuitionistic fuzzy sets, the theory of picture fuzzy sets not only deals with t...
This paper introduces a new intuitionistic fuzzy multicriteria decision making method of evaluation ...
[EN]Under uncertainty, traditional sets may not be sufficient to represent real-world phenomena, and...
In general most of the real life problem of decision making involve imprecise parameters. In recent ...
AbstractThe concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets....
Intuitionistic fuzzy set is a very useful tool to depict uncertainty. Lots of multi-criteria group d...
The objective of this paper is to present novel algorithms for solving the multiple attribute decisi...
AbstractThe problem of decision making in an imprecise environment has found paramount importance in...
We delve into the application of two operational transformation techniques that represent a single i...
The abundant growth of variations in intuitionistic fuzzy sets has posed a challenge in assessing th...
In a conventional interpretation of decision-making based on ambiguity, a decision-maker must prefer...
The selection of a suitable fi nancing alternative involves multifarious attributes that should be a...
AbstractWith respect to decision-making problems by using probabilities, immediate probabilities and...
This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy val...
In 1965, L.A Zadeh inaugurated the idea of fuzzy set theory by extrapolating classical set theory. L...
As an extension of intuitionistic fuzzy sets, the theory of picture fuzzy sets not only deals with t...
This paper introduces a new intuitionistic fuzzy multicriteria decision making method of evaluation ...
[EN]Under uncertainty, traditional sets may not be sufficient to represent real-world phenomena, and...