Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making

By Krassimir T. Atanassov, G. Pasi, Ronald R. Yager. International Journal of Systems Science, 2005

345 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/33ba0d34ad17ceed1b04761b7558826559e12ff3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Management Science and Operations Research

Citations in the corpus

Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making (2011, methodology): “Atanassov et al. (2005) provided an algorithm for solving the multi-person multi-attribute decision making problems , in which the attribute weights are given as exact numerical values and the attribute values are expressed in intuitionistic fuzzy numbers.”
Dynamic intuitionistic fuzzy multi-attribute decision making (2008, background): “Introduction Intuitionistic fuzzy set (IFS) [1] characterized by a membership function and a non-membership function, is an extension of Zadeh’s fuzzy set [2] whose basic component is only a membership function.”
Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group (2009, background): “Thus, it is very suitable to express the expert’s preference values with intuitionistic fuzzy values rather than exact numerical values or linguistic variables (Atanassov et al. 2005; Herrera et al. 2005; Szmidt and Kacprzyk 2002; Xu and Yager 2006; Xu 2007).”
An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights (2009, methodology): “For instance, attribute values have been relaxed to 94 be a range rather than an exact value [4, 6, 14, 18, 20, 22, 27-30, 33-35, 38], and 95 incomplete attribute weight information has also been extensively investigated from 96 different perspectives [18, 26, 36].”
Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making (2010, background): “Atanassov, Pasi, and Yager (2005) proposed an intuitionistic fuzzy interpretation of multi-person multi-criteria decision making.”
TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets (2010, methodology): “Although, the time of the IF set appearing is not long, many researchers have paid great attention to the possible application of the IF sets [ 2 ]–[9].”
GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting (2010, methodology): “[18] provided an algorithm for solving the multi-person multi-attribute decision-making problems, in which the attribute weights are given as exact numerical values and the attribute values are expressed in intuitionistic fuzzy numbers.”
Intuitionistic Fuzzy Information Aggregation Using Einstein Operations (2012, background): “MADM problems are widespread in real-life decision situations [6], [9], [36], [46], [52].”
Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method (2014, background): “[12] discussed the reflection of intuitionistic fuzzy approach in the evaluation process of multi-expert and of multi-measurement tool MCDM.”
Methods for strategic decision-making problems with immediate probabilities in intuitionistic fuzzy setting (2012, background): “The intuitionistic fuzzy set has receivedmore and more attention since its appearance [4–18].”