An approach to multiple attribute group decision making with interval intuitionistic trapezoidal fuzzy information [PDF]
Technological and Economic Development of Economy, 2012 In this paper, we investigate the 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 interval intuitionistic trapezoidal ...
Guiwu Wei, Xiaofei Zhao, Hongjun Wang
doaj +2 more sources
Multi-criteria decision-making method based on intuitionistic trapezoidal fuzzy prioritised owa operator [PDF]
Technological and Economic Development of Economy, 2016 In the real decision-making, there are many multiple attribute decision-making (MADM) problems, in which there exists the prioritised relationship among decision-making attributes.
Peide Liu +2 more
doaj +2 more sources
A SD-IITFOWA operator and TOPSIS based approach for MAGDM problems with intuitionistic trapezoidal fuzzy numbers [PDF]
Technological and Economic Development of Economy, 2015 The aim of this article is to investigate an approach to multiple attribute group decision making (MAGDM) problems in which the information about decision makers (DMs) weights is completely unknown in advance, the attributes are inter-dependent, and the ...
Jian Wu
doaj +2 more sources
Parametric distance measure for trapezoidal intuitionistic fuzzy numbers and application in Multi-criteria group decision-making [PDF]
Mathematics and Computational SciencesIt is important to have an intuitionistic fuzzy set that allows each set element to have a membership value, a non-membership value, and a hesitancy value. This is because each element of the set can possess all three values. We will focus on one type of
Roohollah Abbasi Shureshjani +3 more
doaj +2 more sources
MULTIPLICATION OPERATION ON INTUITIONISTIC FUZZY NUMBERS [PDF]
Analele Universităţii "Constantin Brâncuşi" din Târgu Jiu: Seria Inginerie, 2018 In this article I will present how to demonstrate, other than using the extension principle, that the product of two trapezoidal intuitionistic fuzzy numbers (TrIFN) can be approximated by a TrIFS.
Iuliana Carmen Bărbăcioru
doaj +2 more sources
MathematicsTrapezoidal-valued intuitionistic fuzzy numbers (TrVIFNs) are the real generalizations of intuitionistic fuzzy numbers, interval-valued intuitionistic fuzzy numbers, and triangular intuitionistic fuzzy numbers, which effectively model real-life problems ...
Bibhuti Bhusana Meher +2 more
doaj +2 more sources
Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory [PDF]
Journal of Applied Mathematics, 2014 With respect to decision making problems under uncertainty, a trapezoidal intuitionistic fuzzy multiattribute decision making method based on cumulative prospect theory and Dempster-Shafer theory is developed.
Xihua Li, Fuqiang Wang, Xiaohong Chen
doaj +2 more sources
MathematicsSimilarity measures on trapezoidal-valued intuitionistic fuzzy numbers (TrVIFNs) are functions that measure the closeness between two TrVIFNs, which has a lot of applications in the area of pattern recognition, clustering, decision-making, etc ...
Jeevaraj Selvaraj, Melfi Alrasheedi
doaj +2 more sources
A new approach for ranking of intuitionistic fuzzy numbers [PDF]
Journal 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
An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator [PDF]
International 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