Results 281 to 290 of about 4,814 (298)

Fully fuzzy linear systems of triangular fuzzy numbers (a,b,c)

International Journal of Intelligent Computing and Cybernetics, 2013
PurposeThe purpose of this paper is to study a nascent theory and an emerging concept of solving a fully fuzzy linear system (FFLS) with no non negative restrictions on the triangular fuzzy numbers chosen as parameters. Two new simplified computational methods are proposed to solve a FFLS without any sign restrictions.
Amit Kumar 0003, Abhinav Bansal, Neetu Babbar   +2 more
openaire   +1 more source

On Hamacher sum of triangular fuzzy numbers

Fuzzy Sets and Systems, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Brief note on distributivity of triangular fuzzy numbers

Kybernetika, 1995
Summary: The general results summarized by \textit{D. Dubois} and \textit{H. Prade} [``Fuzzy numbers: An overview'', in: J. C. Bezdek (ed.), Analysis of fuzzy information, Vol. 1, Math. logic, 3-39 (1987)] and the author [Int. J. Gen. Syst. 20, No. 1, 59-65 (1991; Zbl 0739.90074)] show that fuzzy quantities and more especially fuzzy numbers do not ...
openaire   +2 more sources

An improved approach for solving fuzzy transportation problem with triangular fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2015
Abstract Transportation problems have wide applications in logistics and supply chain for reducing the cost. Effective algorithms have been proposed to solve the transportation problem in the case when all of the parameters, namely the supply, demand values and the unit transportation costs, are given in a precise way.
openaire   +1 more source

Principal Component Analysis of Triangular Fuzzy Number Data

2009
Principal component analysis (PCA) is a well-known tool often used for the exploratory analysis of a data set, which can be used to reduce the data dimensionality and also to decrease the dependency among features. The traditional PCA algorithms are designed aiming at numerical data instead of non-numerical data.
Na-xin Chen, Yun-jie Zhang
openaire   +1 more source

Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making

Information Sciences, 2021
Jiuying Dong, Shu-Ping Wan, Shyi-Ming Chen   +2 more
exaly  

A Direct Approach to Compute Triangular Fuzzy Banzhaf Values of Cooperative Games With Coalitions’ Values Represented by Triangular Fuzzy Numbers

IEEE Transactions on Fuzzy Systems, 2021
Yin-Fang Ye, Deng-Feng Li, Deng-Feng Li   +2 more
exaly  

Fuzzy Logistic Regression with Triangular and Gaussian Fuzzy Numbers

This thesis presents a comprehensive exploration of fuzzy methods for binary classification problems, focusing on addressing the critical challenges of class imbalance, complete separation, multicollinearity, seasonality, and efficiency. The particular areas of focus for the application in each chapter are varied, including environmental problems ...
openaire   +1 more source

IS TRIANGULAR FUZZY NUMBERS OR TRAPEZOIDAL FUZZY NUMBERS AS MEMBERSHIP FUNCTION?

2007
Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yöntemi belirsiz ortamlarda Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden birisidir ve grup kararı vermede kullanılır. Fuzzy TOPSIS yönteminin temelinde ideal çözümün Bulanık Pozitif İdeal Çözümden (BPİÇ) en yakın, Bulanık Negatif İdeal Çözümden (BNİÇ) ise en uzak mesafede ...
openaire   +1 more source

Multiple attribute group decision making based on weighted aggregation operators of triangular neutrosophic cubic fuzzy numbers

Granular Computing, 2019
Aliya Fahmi, Fazli Amin, Fahmi Aliya
exaly