Results 271 to 280 of about 43,297 (342)

A fuzzy ranking of fuzzy numbers

Fuzzy Sets and Systems, 1989
Abstract We present a fuzzy ranking of fuzzy numbers and then briefly discuss two applications.
openaire   +1 more source

Fuzzy Nash equilibrium in fuzzy games using ranking fuzzy numbers

International Conference on Fuzzy Systems, 2010
In traditional game theory, the players play with policy of maximizing their payoffs. In real world, there are many situations where payoffs have uncertainty and are fuzzy in nature. In this paper, a new method for finding pure strategy Nash equilibriums, to realistically analyze the games with fuzzy payoffs is investigated. Using ranking fuzzy numbers,
Alireza Chakeri, Nasser Sadati, Setareh Sharifian   +2 more
openaire   +1 more source

A NEW METHOD FOR RANKING TRIANGULAR FUZZY NUMBERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
The ranking and comparing of fuzzy numbers have important practical uses, such as in risk analysis problems, decision-making, optimization, forecasting, socioeconomic systems, control and certain other fuzzy application systems. Several methods for ranking fuzzy numbers have been widely-discussed though most of them have shortcomings.
Akyar, Emrah, Akyar, Handan, Düzce, Serkan Ali   +2 more
openaire   +2 more sources

A weighted ranking function for ranking triangular fuzzy numbers

Journal of Information and Optimization Sciences, 2012
Abstract This paper proposes a class of generalized ranking functions which are based on function and weight function for ranking triangular fuzzy numbers (TFNs). It demonstrates some provable fundamental characteristics and ordering behaviors of their corresponding ranking functions.
Hui-Chin Tang, Tien-Lin Chao, Kuang-Hang Hsieh   +2 more
openaire   +1 more source

Spread factor in ranking fuzzy numbers

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Ranking fuzzy numbers is one of the important element in solving decision making problems. Many approaches have been proposed in ranking fuzzy numbers. However, some of the proposed methods are rather limited to rank certain types of fuzzy numbers where two different fuzzy numbers is ranked equally. For example two different embedded fuzzy numbers with
Harliza Mohd Hanif, Daud Mohamad, Nor Hashimah Sulaiman   +2 more
openaire   +1 more source

Ranking alternatives using fuzzy numbers

Fuzzy Sets and Systems, 1985
The proposed method may be shortly described as follows: n experts evaluate m alternatives with respect to K criteria. All the evaluations consist of fuzzy numbers \(a^ k_{ij}\) (a number assigned to the i-th alternative by the j-th expert for the k-th criterion) and \(b_{kj}\) (the importance of the k-th criterion for the j-th expert), \(i=1,...,m\), \
openaire   +1 more source

Ranking of trapezoidal intuitionistic fuzzy numbers

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA), 2012
Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined.
P.K. De, Debaroti Das
openaire   +1 more source

A New Solution Technique for Fuzzy Transportation Problem Using Novel Ranking Functions on Heptagonal Fuzzy Numbers: A Case Study of Regional Shipment

Journal of Computational and Cognitive Engineering
This study focuses on the fuzzy transportation problem that manifests as a problem of optimization in an uncertain environment. The idea of fuzziness in the objective of transportation cost is based on real-world decision-making difficulties, and the ...
B. Baranidharan, G. S. Mahapatra
semanticscholar   +1 more source

Compatibility-based ranking of fuzzy numbers

1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297), 2002
A general approach to the ranking of n fuzzy numbers by applying fuzzy compatibility measures and the fuzzy minimum and fuzzy maximum operators is described. In an n/spl times/n binary fuzzy ranking relation the ranking of the fuzzy numbers A and B is based on the combined evidence that A is smaller than B and B is larger than A. From the fuzzy ranking
M. Setnes, V. Cross
openaire   +1 more source

Ranking fuzzy numbers by preference ratio

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Modarres, Mohammad, Sadi-Nezhad, Soheil
openaire   +2 more sources