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Complete Ranking of Intuitionistic Fuzzy Numbers [PDF]

open access: yesFuzzy Information and Engineering, 2016
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].
V. Lakshmana Gomathi Nayagam   +2 more
doaj   +3 more sources

A New Ranking Principle For Ordering Trapezoidal Intuitionistic Fuzzy Numbers [PDF]

open access: yesComplexity, 2017
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.
Lakshmana Gomathi Nayagam Velu   +2 more
doaj   +2 more sources

Some Muirhead Mean Operators for Intuitionistic Fuzzy Numbers and Their Applications to Group Decision Making. [PDF]

open access: yesPLoS ONE, 2017
Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vector.
Peide Liu, Dengfeng Li
doaj   +2 more sources

Proposing a new approach for solving intuitionistic fuzzy linear programming problem with non-symmetric parameters [PDF]

open access: yesتصمیم گیری و تحقیق در عملیات, 2021
In this paper, we deal with a linear programming problem with non-symmetric trapezoidal intuitionistic fuzzy numbers. In recent years, many authors have studied the symmetric trapezoidal intuitionistic fuzzy numbers. After defining a ranking function and
Morteza Goli   +2 more
doaj   +1 more source

A new approach for ranking of intuitionistic fuzzy numbers [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2020
The concept of an intuitionistic fuzzy number (IFN) is of importance for representing an ill-known quantity. Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. The concept of an IFN is of importance
Suresh Mohan   +2 more
doaj   +1 more source

Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2010
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take the form of fuzzy number intuitionistic fuzzy numbers, a new group ...
Guiwi Wei, Xiaofei Zhao, Rui Lin
doaj   +1 more source

A comment on "a novel parametric ranking method for intuitionistic fuzzy numbers" [PDF]

open access: yesBig Data and Computing Visions, 2021
This note shows that the parametric ranking method proposed by Darehmiraki [M. Darehmiraki, A novel parametric ranking method for intuitionistic fuzzy numbers, Iranian Journal of Fuzzy Systems, 16(1) (2019), 129-143] is not correct.
Roohollah Abbasi Shureshjani   +1 more
doaj   +1 more source

Bondage and non-bondage sets in regular intuitionistic fuzzy graphs [PDF]

open access: yesNotes on IFS, 2023
The concept of strong edges in domination set and its properties are discussed. The increasing or reducing domination numbers using cardinality are also studied.
R. Buvaneswari, K. Umamaheswari
doaj   +1 more source

Ishita Approach to Construct an Intuitionistic Fuzzy Linear Regression Model

open access: yesFuzzy Optimization and Modeling, 2021
To the best of our knowledge, there is only two approaches for constructing an intuitionistic fuzzy linear regression model (regression model in which all the variables and coefficients are considered as intuitionistic triangular fuzzy numbers). However,
Abdullah Al-Qudaimi
doaj   +1 more source

An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed.
Peide Liu, Ying Liu
doaj   +1 more source

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