Penalty method for fuzzy linear programming with trapezoidal numbers [PDF]
Yugoslav Journal of Operations Research, 2009 In this paper we shall propose an algorithm for solving fuzzy linear programming problems with trapezoidal numbers using a penalty method. We will transform the problem of maximizing a function having trapezoidal fuzzy number values under some ...
Stanojević Bogdana, Stanojević Milan
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Application of improved fuzzy best worst analytic hierarchy process on renewable energy [PDF]
PeerJ Computer Science, 2021 In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number.
Priyanka Majumder +3 more
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Nearest fuzzy number of type L-R to an arbitrary fuzzy number with applications to fuzzy linear system [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2023 The fuzzy operations on fuzzy numbers of type L-R are much easier than general fuzzy numbers. It would be interesting to approximate a fuzzy number by a fuzzy number of type L-R.
S.M. Alavi
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Quantified trapezoidal fuzzy numbers [PDF]
Journal of Intelligent & Fuzzy Systems, 2017 The aim of this work is to construct quantified trapezoidal fuzzy numbers as an extension of trapezoidal fuzzy numbers, by using modal intervals and accepting the possibility that the α-cuts of a trapezoidal fuzzy number may also be improper intervals.
Adillón, Román, Jorba, Lambert
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A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data.
J. Tayyebi, E. Hosseinzadeh
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Fuzzy Distance of Trapezoidal Fuzzy Numbers [PDF]
Advances in Intelligent Systems Research, 2006 Fuzzy distance is applied on data analysis, classification, and product positioning analysis widely. In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of “greater or less than x” and “about x”.
Chien-Chung Wang, Shan Huo Chen
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Transformation Linear Membership Function by Using the Modified S- Curve [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, we concentrate on two cases of fuzzy linear programming problems (FLPP): LPP with coefficient of objective function and coefficient of available resources and constraint are trapezoidal and triangular of fuzzy numbers respectively.
Abdul Rahim K.Rahi and Shorish Omer Abdulla
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An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator [PDF]
International Journal of Computational Intelligence Systems, 2014 With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed.
Peide Liu, Ying Liu
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Vendor-Buyers relationship model for deteriorating items with shortages, fuzzy trapezoidal costs and inflation [PDF]
Yugoslav Journal of Operations Research, 2013 In this paper, an integrated inventory model is developed from the perspective of a single vendor and multi-buyers for deteriorating items under fuzzy environment and inflation. In the development of the model, it is assumed that all costs parameters,
Singh Chaman, Singh S.R.
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Solving Neutrosophic Linear Programming Problems Using Exterior Point Simplex Algorithm [PDF]
Neutrosophic Sets and Systems, 2021 In this manuscript, three contributions are proposed. First contribution is proposing a good evaluation between the fuzzy and neutrosophic approaches using a novel fuzzy-neutrosophic transfer.
M Elsayed Badr +3 more
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