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A NEW METHOD FOR RANKING TRIANGULAR FUZZY NUMBERS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012The 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.
Emrah Akyar +2 more
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Fuzzy SVM Based on Triangular Fuzzy Numbers
2007 International Conference on Machine Learning and Cybernetics, 2007Support vector machine (SVM) is novel type learning machine, based on statistical learning theory, whose tasks involve classification, regression or novelty detection. Traditional SVM classifies the data with numerical features. However, in most cases of real world, there are much more data with fuzzy features.
Qiang He, Cong-Xin Wu, Eric C.C. Tsang
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Rotation of triangular fuzzy numbers via quaternion
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014In this paper we introduced the concept of three-dimensional triangular fuzzy number and their properties are investigated. It is shown that this set has important metrical properties, e.g convexity. The paper also provides a rotation method for such numbers based on quaternion and aggregation operator.
Ronildo P. A. Moura +3 more
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Triangular approximation preserving the centroid of fuzzy numbers
International Journal of Computer Mathematics, 2012In this paper, the Karush–Kuhn–Tucker theorem is used for finding the nearest triangular approximation of a fuzzy number with respect to a well-known metric, which preserves the centroid of the fuzzy number, is studied. The properties of translation invariance, scale invariance and identity of the triangular approximation operator are discussed.
Jian Li 0014 +2 more
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Triangular fuzzy number representation of relations in Fuzzy Cognitive Maps
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014In this paper, the conventional Fuzzy Cognitive Maps (FCMs), which has already achieved success in many fields, are extended by using triangular fuzzy numbers (TFNs). The advantage of FCMs is that they are relatively easy to construct and parameterize and are capable of handling the full range of system feedback structure, including density-dependent ...
Engin Yesil +2 more
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RIDGE REGRESSION PROCEDURES FOR FUZZY MODELS USING TRIANGULAR FUZZY NUMBERS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004This paper presents a new method of estimating fuzzy multivariable linear and nonlinear regression models using triangular fuzzy numbers. This estimation method is obtained by implementing a dual version of the ridge regression procedure for linear models.
Dug Hun Hong, Changha Hwang
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Fuzzy production inventory for fuzzy product quantity with triangular fuzzy number
Fuzzy Sets and Systems, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weighted trapezoidal and triangular approximations of fuzzy numbers
Fuzzy Sets and Systems, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Characterization of the Ranking Indices of Triangular Fuzzy Numbers
2014We find necessary and sufficient conditions for a ranking index defined on the set of triangular fuzzy numbers as a linear combination of its components to rank effectively. Then, based on this result, we characterize the class of ranking indices which generates orderings on triangular fuzzy numbers satisfying the basic requirements by Wang and Kerre ...
Adrian I. Ban, Lucian C. Coroianu
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PROJECT CHARACTERISTICS WITH TRIANGULAR FUZZY NUMBER
2023The Critical Path Method (CPM) is required to plan, organize, and arrange for major project networks. A clear estimate of the time duration will help in the successful execution of the CPM. However, the time duration cannot be precisely specified in real life.
Adilakshmi Siripurapu +1 more
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