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International Journal of Production Research Volume 50, 2012 - Issue 23
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Original Articles

Robot selection using a fuzzy regression-based decision-making approach

E. Ertugrul Karsak Industrial Engineering Department, Galatasaray University, Ortakoy, Istanbul 34357, TurkeyCorrespondence[email protected]
,
Zeynep Sener Industrial Engineering Department, Galatasaray University, Ortakoy, Istanbul 34357, Turkey
&
Mehtap Dursun Industrial Engineering Department, Galatasaray University, Ortakoy, Istanbul 34357, Turkey
Pages 6826-6834 | Received 09 Jun 2011, Accepted 25 Sep 2011, Published online: 02 Nov 2011

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Yi-Xi Xue, Jian-Xin You, Xufeng Zhao & Hu-Chen Liu. (2016) An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information. International Journal of Production Research 54:18, pages 5452-5467.
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Articles from other publishers (22)

Ramesh Kumar Garg & Rakesh Garg. (2023) Decision Support System for Evaluation and Ranking of Robots Using Hybrid Approach. IEEE Transactions on Engineering Management 70:9, pages 3283-3296.
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G. Punnam Chander & Sujit Das. (2023) Hesitant t-spherical fuzzy linear regression model based decision making approach using gradient descent method. Engineering Applications of Artificial Intelligence 122, pages 106074.
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Vidyapati Kumar, Priyank Gupta, Abhishek Mohata & Partha Protim Das. Selection of industrial arc welding robot using integrated PIPRECIA-TOPSIS model. Selection of industrial arc welding robot using integrated PIPRECIA-TOPSIS model.
Ayesha Sultan, Wojciech Sałabun, Shahzad Faizi, Muhammad Ismail & Andrii Shekhovtsov. (2022) Making Group Decisions within the Framework of a Probabilistic Hesitant Fuzzy Linear Regression Model. Sensors 22:15, pages 5736.
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Sumera Naz, Muhammad Akram, Afia Sattar & Mohammed M. Ali Al-Shamiri. (2022) 2-tuple linguistic $ q $-rung orthopair fuzzy CODAS approach and its application in arc welding robot selection. AIMS Mathematics 7:9, pages 17529-17569.
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Madan Jagtap & Prasad Karande. (2022) Effect of normalization methods on rank performance in single valued m-polar fuzzy ELECTRE-I algorithm. Materials Today: Proceedings 52, pages 762-771.
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Varun Chodha, Rohit Dubey, Raman Kumar, Sehijpal Singh & Swapandeep Kaur. (2022) Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques. Materials Today: Proceedings 50, pages 709-715.
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Ayesha Sultan, Wojciech Sałabun, Shahzad Faizi & Muhammad Ismail. (2021) Hesitant Fuzzy Linear Regression Model for Decision Making. Symmetry 13:10, pages 1846.
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Gülçin Büyüközkan, Öykü Ilıcak & Orhan Feyzioğlu. 2021. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems 561 570 .
Cinzia Amici, Nicola Pellegrini & Monica Tiboni. (2020) The Robot Selection Problem for Mini-Parallel Kinematic Machines: A Task-Driven Approach to the Selection Attributes Identification. Micromachines 11:8, pages 711.
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Mahdi Nasrollahi, Javaneh Ramezani & Mahmoud Sadraei. (2020) A FBWM-PROMETHEE approach for industrial robot selection. Heliyon 6:5, pages e03859.
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Mehmet Ali Ilgın. 2020. Robotic Systems. Robotic Systems 100 116 .
Nataliya Chukhrova & Arne Johannssen. (2019) Fuzzy regression analysis: Systematic review and bibliography. Applied Soft Computing 84, pages 105708.
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Mehmet Ali Ilgın. (2017) Integrating Linear Physical Programming and Fuzzy Logic for Robot Selection. International Journal of Robotics Applications and Technologies 5:2, pages 1-17.
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Süleyman Çakır. (2017) Measuring logistics performance of OECD countries via fuzzy linear regression. Journal of Multi-Criteria Decision Analysis 24:3-4, pages 177-186.
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Dilip Kumar Sen, Saurav Datta & S.S. Mahapatra. (2016) Application of TODIM (Tomada de Decisión Inerativa Multicritero) for industrial robot selection. Benchmarking: An International Journal 23:7, pages 1818-1833.
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Dilip Kumar Sen, Saurav Datta & S.S. Mahapatra. (2016) Extension of PROMETHEE for robot selection decision making. Benchmarking: An International Journal 23:4, pages 983-1014.
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Bipradas Bairagi, Balaram Dey, Bijan Sarkar & Subir Kumar Sanyal. (2015) A De Novo multi-approaches multi-criteria decision making technique with an application in performance evaluation of material handling device. Computers & Industrial Engineering 87, pages 267-282.
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Dilip Kumar Sen, Saurav Datta, Saroj Kumar Patel & Siba Sankar Mahapatra. (2015) Multi-criteria decision making towards selection of industrial robot. Benchmarking: An International Journal 22:3, pages 465-487.
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R. Parameshwaran, S. Praveen Kumar & K. Saravanakumar. (2015) An integrated fuzzy MCDM based approach for robot selection considering objective and subjective criteria. Applied Soft Computing 26, pages 31-41.
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D. E. Koulouriotis & M. K. Ketipi. (2014) Robot evaluation and selection Part A: an integrated review and annotated taxonomy. The International Journal of Advanced Manufacturing Technology 71:5-8, pages 1371-1394.
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Yusuf Tansel İç, Mustafa Yurdakul & Berna Dengiz. (2013) Development of a decision support system for robot selection. Robotics and Computer-Integrated Manufacturing 29:4, pages 142-157.
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