Results 291 to 300 of about 131,919 (331)

Economic Feasibility of Projects Using Triangular Fuzzy Numbers

2018
© Springer Nature Switzerland AG 2018. The feasibility analysis of projects is an indispensable process for software development organizations. The intangible nature of software and the multiple criteria considered, introduce uncertainty in this process.
Marieta Peña Abreu, Carlos R. Rodríguez Rodríguez, Roberto García Vacacela, Pedro Yobanis Piñero Pérez   +3 more
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On product-sum of triangular fuzzy numbers

Fuzzy Sets and Systems, 1991
The author studies the membership function of the product-sum \(\bar a_ 1+\bar a_ 2+..\). of triangular fuzzy numbers \(\bar a_ 1,\bar a_ 2,..\). The results are associated with those of \textit{D. Dubois} and \textit{H. Prade} [Additions of interactive fuzzy numbers, IEEE Trans. Autom. Control 26, 926-936 (1981)].
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On Hamacher sum of triangular fuzzy numbers

Fuzzy Sets and Systems, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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 ...
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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.
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Triangular intuitionistic fuzzy number based backorder and lost sale in production, remanufacturing and inspection process

Expert systems with applications, 2023
Sugapriya Chandrasekar, P. Saranyaa, D. Nagarajan, D. Pamucar   +3 more
semanticscholar   +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
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Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making

Information Sciences, 2021
Shu-Ping Wan, Shyi-Ming Chen
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
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 ...
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