Results 11 to 20 of about 14,410 (213)
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”.
Shan-Huo Chen, Chien-Chung Wang
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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.
Romà J. Adillon, Lambert Jorba
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A new approach for ranking of intuitionistic fuzzy numbers [PDF]
Journal of Fuzzy Extension and Applications, 2020 The concept of an intuitionistic fuzzy number (IFN) is of importance for representing an ill-known quantity. Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. The concept of an IFN is of importance
Suresh Mohan +2 more
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Analysis of construction dynamic plan using fuzzy critical path method [PDF]
Tehnika, 2014 Critical Path Method (CPM) technique has become widely recognized as valuable tool for the planning and scheduling large construction projects. The aim of this paper is to present an analytical method for finding the Critical Path in the precedence ...
Kurij Kazimir V. +2 more
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A Generalized Model for Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers
Journal of Applied Research on Industrial Engineering, 2017 In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number. In this way, we first establish a new arithmetic operation
Seyed Hadi Nasseri +2 more
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OPTIMIZATION OF RICE INVENTORY USING FUZZY INVENTORY MODEL AND LAGRANGE INTERPOLATION METHOD
Barekeng, 2023 Interpolation is a method to determine the value that is between two values and is known from the data. In some cases, the data obtained is incomplete due to limitations in data collection. Interpolation techniques can be used to obtain approximate data.
Eka Susanti +7 more
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On Approximation of Any Ordered Fuzzy Number by A Trapezoidal Ordered Fuzzy Number [PDF]
Symmetry, 2018 In this paper, the model of imprecise quantity information is an ordered fuzzy number. The purpose of our study is to propose some methods of approximating any ordered fuzzy number using a trapezoidal ordered fuzzy number. The information ambiguity is evaluated by means of an energy measure.
Krzysztof Piasecki +1 more
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Multi-Objective Inventory Model with Deterioration under Space Constraint: Neutrosophic Hesitant Fuzzy Programming Approach [PDF]
Neutrosophic Sets and Systems, 2021 We have considered a deterministic inventory model with time-dependent demand and holding cost and time varying deterioration where shortages are allowed and partially backlogged. To reduce deterioration, we have considered here a preservation condition.
Sahidul Islam, Kausik Das
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Complexity, 2021 The q-rung orthopair fuzzy number (q-ROFN) has been recently developed by Yager and has been widely applied in handling real-life decision-making problems.
Benting Wan, Juelin Huang, Xiaolu Zhang
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Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation
Energies, 2021 Studying and analyzing the challenges that the renewable energy sector faces can help evaluate the risks and improve the planning. This research is done by considering the challenges in the implementation of sustainable generation of electricity through ...
Shabbiruddin +5 more
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