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نمایش مقالات انگلیسی با موضوع: تصمیم گیری تعداد : 114
1. Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit
Source: Procedia Computer Science 133 (2018) 905–912
Authors: Sanjay Kumar, Saurabh Kumar, Asim Gopal Barman
No of Pages: 8
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2. Design process by integrating DEMATEL , and ANP methods
Source: Proceedings of IEEE International Conference on Applied System Innovation 2018
Authors: Hsin-Hung Lin1,a, Jui-Hung Cheng
No of Pages: 4
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3. Analyzing supplier development criteria for an automobile industry
Source: Industrial Management & Data Systems Vol. 110 No. 1, 2010 pp. 43-62
Authors: Kannan Govindan, Devika Kannan, A. Noorul Haq
No of Pages: 27
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4. A Delphi-AHP-TOPSIS Based Framework for the Prioritization of Intellectual Capital Indicators: A SMEs Perspective ☆
Source: Procedia - Social and Behavioral Sciences Volume 189, 15 May 2015, Pages 275–284
Authors: Chandra Sekhar , Manoj Patwardhan , Vishal Vyas
No of Pages: 10
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5. A demand forecast model using a combination of surrogate data analysis and optimal neural network approach
Source: Decision Support Systems 54 (2013) 1404–1416
Authors: .
No of Pages: 13
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6. Application of dynamic neighborhood small population particle swarm optimization for reconfiguration of shipboard power system
Source: Engineering Applications of Artificial Intelligence 26 (2013) 1255–1262
Authors: .
No of Pages: 8
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7. Multi-enterprise collaborative decision support system
Source: Expert Systems with Applications 39 (2012) 7637–7651
Authors: .
No of Pages: 15
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8. Group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency
Source: Expert Systems with Applications 39 (2012) 11666–11676
Authors: .
No of Pages: 11
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9. Extension of TOPSIS to determine weight of decision maker for group decision making problems with uncertain information
Source: Expert Systems with Applications 39 (2012) 6343–6350
Authors: .
No of Pages: 8
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10. An ontology-driven decision support system for high-performance and cost-optimized design of complex railway portal frames
Source: Expert Systems with Applications 39 (2012) 8784–8792
Authors: .
No of Pages: 9
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