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Genetic algorithm based fuzzy stochastic transportation programming problem with continuous random variables

Dutta, S.; Acharya, S.; Mishra, Rajashree - In: Opsearch : journal of the Operational Research Society … 53 (2016) 4, pp. 835-872

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A random fuzzy multi-objective linear programming approach through possibility theory

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Multi-objective model for intelligence evaluation and selection of enterprise systems

Rouhani, Saeed; Ravasan, Ahad Zare - In: International journal of business information systems : … 20 (2015) 4, pp. 397-426

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A new fuzzy clustering algorithm based on multi-objective mathematical programming

Sadi-Nezhad, Soheil; Khalili-Damghani, Kaveh; Nourouzi, … - In: Top : transactions in operations research 23 (2015) 1, pp. 168-197

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Bi-level multi-objective programming problem with fuzzy demands : a fuzzy goal programming algorithm

Baky, Ibrahim A.; Eid, Mohamed H.; El Sayed, Mohamed A. - In: Opsearch : journal of the Operational Research Society … 51 (2014) 2, pp. 280-296

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A modified TOPSIS approach for solving stochastic fuzzy multi-level multi-objective fractional decision making problem

El Sayed, M. A.; Baky, Ibrahim A.; Singh, Pitam - In: Opsearch : journal of the Operational Research Society … 57 (2020) 4, pp. 1374-1403

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Nutrient management system for sustainable sugarcane production : an application of fuzzy goal programming and decision theoretic approach

Jana, R. K.; Sharma, Dinesh K.; Okunbor, Daniel - In: International journal of applied management science 8 (2016) 3, pp. 230-245

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Modelling and analysis of a four stage supply chain under fuzzy environment

Hemalatha, S.; Rao, K. Narayana; Rambabu, G.; … - In: International journal of enterprise network management 9 (2018) 2, pp. 75-90

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An integrated Fuzzy ANP-MOP approach for partner selection problem and order allocation optimization : the case of virtual enterprise configuration

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Applying nonlinear MODM model to supply chain management with quantity discount policy under complex fuzzy environment

Zhang, Zhe; Xu, Jiuping - In: Journal of industrial engineering and management : JIEM 7 (2014) 3, pp. 660-680

Purpose: The aim of this paper is to deal with the supply chain management (SCM) with quantity discount policy under the complex fuzzy environment, which is characterized as the bi-fuzzy variables. By taking into account the strategy and the process of decision making, a bi-fuzzy nonlinear...

Persistent link: https://www.econbiz.de/10011912450