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Dual interval rough integrated cloud COPRAS method: a novel hybrid assessment model for remanufacturing system selection

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Abstract

Uncertain and fuzzy linguistic variables are oftenly used to express evaluation information of experts in group decision making approaches. To recognize the limits of human cognition and subjectivity of human evaluations, several fuzzy numbers based approaches have been studied to select remanufacturing alternatives in decision making processes, however these methods have certain deficiencies such as lacking manipulation tools of diverse information, additional adjustments and suppositions, ignoring randomness in experts’ judgements and lack of mechanism tools to evaluate interrelationship among remanufacturing criteria. The accurate analysis of engineering characteristics in remanufacturing phase is vital for worn and aged products as it can effectively determine the orientation of subsequent remanufacturing practice strategies. In this research paper, a novel remanufacturing machine tool assessment approach is proposed by integrating dual interval rough integrated cloud model with complex proportional assessment (COPRAS) method. The dual interval rough integrated cloud COPRAS method is constructed using hybrid weighting scheme by computing subjective and objective weights with an effective new variance formula for interval clouds. The alternatives are ranked based on maximizing and minimizing indices, and relative significant coefficients. Finally, the proposed hybrid COPRAS method is illustrated with an example of remanufacturing of machine tool models for gear hobbing machines, machining centers and lathe. An improved modified version of dual interval rough integrated TOPSIS method is also proposed and compared with hybrid COPRAS method. The cost factor of remanufacturing criteria is added in the normalization method to get more appropriate and reliable results. The ranking results are analyzed for both considering and ignoring the cost criteria. The efficacy out-performance of proposed methods is compared with existing approaches based on fuzzy numbers, rough numbers and their hybrid models.

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Authors and Affiliations

  1. Department of Mathematics, GC Women University, Sialkot, 51310, Pakistan

    Musavarah Sarwar

  2. Division of Science and Technology, Department of Mathematics, University of Education, Lahore, Pakistan

    Ghous Ali

  3. Division of Science and Technology, Department of Mathematics, University of Education, Lahore, Pakistan

    Sundas Shahzadi

  4. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, 400044, China

    Liming Xiao

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  1. Musavarah Sarwar
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  2. Ghous Ali
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  3. Sundas Shahzadi
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  4. Liming Xiao
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MS: concept, design, analysis, writing. GA and LX: proof reading, modifications, corrections. SS: proof reading of the manuscript.

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Correspondence to Musavarah Sarwar.

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Sarwar, M., Ali, G., Shahzadi, S. et al. Dual interval rough integrated cloud COPRAS method: a novel hybrid assessment model for remanufacturing system selection. Soft Comput (2023). https://doi.org/10.1007/s00500-023-09327-x

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