Search Results - fuzzy binary integer programming problems

Solving Multiobjective Fuzzy Binary Integer Linear Fractional Programming Problems Involving Pentagonal and Hexagonal Fuzzy Numbers by Akate, Adane, Fentaw, Getaye

“…In this paper, we studied a multiobjective linear fractional programming (MOLFP) problem with pentagonal and hexagonal fuzzy numbers, while the decision variables are binary integer numbers…”
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Power line routing design by GIS-driven fuzzy traveling salesman problem-binary integer programming for green energy integration by Jong, Far Chen, Ahmed, Musse Mohamud

“… Therefore, the paper proposes a novel methodology using Geographical Information System tools incorporating geographical databases, fuzzy logic operations and Traveling Salesman Problem-Binary…”
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Binary fuzzy linear programming problems: a new solution by Malihe Niksirat, Majid Abdolrazzagh-Nezhad

“… Therefore, the solution is more consistent with the uncertainty governing the problem.Methodology: This paper proposes a new fuzzy branch-and-bound approach based on Kerre's adapted method to solve the fuzzy binary integer programming problem…”
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Mixed model disassembly line balancing problem with fuzzy goals by Paksoy, Turan, Güngör, Aşkıner, Özceylan, Eren, Hancilar, Arif

“… In this paper, a mixed integer programming (MIP) model is proposed for a mixed model disassembly line balancing (MMDLB…”
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Binary fuzzy goal programming by Chang, Ching-Ter

“… Thus, binary fuzzy goal programming is employed where the problem cannot be solved by conventional goal programming approaches…”
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Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals by Haq, Ahteshamul, Ali, Irfan, Varshney, Rahul

“…In a multivariate stratified sample survey, we assumed p-characteristics which are to be measured on each unit of the population and the population is further…”
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Minimizing makespan in a group shop with fuzzy release dates and processing times by Ahmadizar, Fardin, Zarei, Alireza

“… First, the problem is formulated in a form of fuzzy programming and then prepared in a form of deterministic mixed binary integer linear programming by applying the chance-constrained programming…”
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Social Awareness Aided D2D Relay Selection Based on Fuzzy and Entropy Theories by Wu, Kuan, Jiang, Ming, Tan, Hong-Zhou

“… In this paper, the sociality-aware D2D UE-NW relay selection (RS) issue is formulated as a constrained multi-objective binary integer linear programming (MOBILP…”
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D2D Relay Selection Based on Joint Fuzzy and Entropy Theories With Social Similarity by Wu, Kuan, Jiang, Ming, Tan, Hong-Zhou

“… In this paper, we formulate the SS-aware D2D UE-NW relay selection (RS) issue as a multiobjective binary integer linear programming (MOBILP…”
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Economic Evaluation of Projects under Uncertainty Using Fuzzy Logic, Analytical Hierarchy Process and Binary Integer Programming by Meysam Jafari Eskandari, Mehrdad Saboonian, Mohsen Dory

“… Then, using analytic hierarchy process and binary integer programming with respect to the other objectives of the project, the most economical project was chosen. This model considers qualitative and quantitative objective and uncertainty to select the best projects in real-world situations…”
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A Fuzzy Logic and Binary-Goal Programming-Based Approach for Solving the Exam Timetabling Problem to Create a Balanced-Exam Schedule by Cavdur, Fatih, Kose, Merve

“…This study presents a fuzzy logic and binary-goal programming-based approach for solving the exam timetabling problem to create a balanced-exam schedule…”
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A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty by Wang, Shuming, Watada, Junzo

“… Under this setting, the VaR-FRFLM is inherently a two-stage mixed 0–1 integer fuzzy random programming problem, to which analytical nonlinear programming methods are not applicable…”
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Integer fuzzy credibility constrained programming for power system management by Zhang, Y.M., Huang, G.H., Lin, Q.G., Lu, H.W.

“… To solve this model, an integer credibility constrained programming (ICCP) is developed by incorporating the concepts of credibility based chance constrained programming and mixed integer programming within an optimization framework…”
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Resource allocation via binary integer programming with fuzzy objectives by Garagic, D., Cruz, J.B., Mehra, R.K.

“… A network flow optimization problem is posed that combines binary integer programming methods with fuzzy decision making processes, to obtain optimal solutions to resource allocation problems…”
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Fuzzy resource-constrained project scheduling with multiple routes: A heuristic solution by Birjandi, Alireza, Mousavi, S. Meysam

“… Hence, in this paper, a new fuzzy mixed integer nonlinear programming (MINLP) model is presented under uncertain conditions…”
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A fuzzy binary bi objective transportation model: Iranian steel supply network by Amoozad Mahdiraji, Hannan, Beheshti, Moein, Razavi Hajiagha, Seyed Hossein, Zavadskas, Edmundas Kazimieras

“… with unpredictable demand rate, fuzzy logic and specifically Trapezoidal Fuzzy Numbers (TrFNs) are included. After designing a fuzzy binary multi objective model based upon…”
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Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm by Kamal, Murshid, Gupta, Srikant, Chatterjee, Prasenjit, Pamucar, Dragan, Stevic, Zeljko

“… A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form…”
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A fuzzy multi-criteria decision making approach for solving a bi-objective personnel assignment problem by Huang, Deng Kui, Chiu, Huan Neng, Yeh, Ruey Huei, Chang, Jen Huei

“… In a fuzzy environment and, then, in the proposed approach, a bi-objective binary integer programming (BOBIP…”
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Fuzzy multiobjective models for optimal operation of a hydropower system by Teegavarapu, Ramesh S. V., Ferreira, André R., Simonovic, Slobodan P.

“… (i) mixed integer nonlinear programming (MINLP) with binary variables and (ii) integrate a new turbine unit commitment formulation along with water quality constraints used for evaluation of reservoir downstream impairment…”
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Finding the numerical compensation in multiple criteria decision-making problems under fuzzy environment by Gupta, Mahima, Mohanty, B. K.

“…) problems under fuzzy environment. The degree of compensation is dependent on the tranquility and anxiety level experienced by the decision-maker while taking the decision…”
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