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A New Data Normalization Method for Multi-criteria Decision Analysis

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Mobile and Wireless Technology 2018 (ICMWT 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 513))

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Abstract

Due to the incommensurability between the criteria in the multiple criteria decision-making problem, we need to standardize the scores of alternatives against each criterion. Although the existing normalization method can transform the criterion scores into (0, 1), the averages of the criterion scores of all the alternatives for different criteria may be different. This is equivalent to the case that the criteria weights are revised. In order to solve this problem, a non-linear data normalization method is proposed in this paper. The proposed method can transform each criterion scores into (0, 1) and make the scores for each criterion have the same mean. Two examples are included to illustrate the rationality of the proposed approach.

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References

  1. Hwang CL (1981) Multiple attribute decision making. Springer Verlag

    Google Scholar 

  2. Maccrimmon KR (1968) Decision making among multiple attribute alternatives: a survey and consolidated approach. Rand

    Google Scholar 

  3. Stewart TJ (1992) A critical survey on the status of multiple criteria decision making theory and practice. OMEGA 20(5–6):569–586

    Article  Google Scholar 

  4. Saaty TL (1994) Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, Pittsburgh, PA

    Google Scholar 

  5. Rao RV (2007) Decision making in the manufacturing environment. Springer, London

    MATH  Google Scholar 

  6. Jiang R (2015) Introduction to quality and reliability engineering. Springer, London & Science Press, Beijing

    Google Scholar 

  7. Fisher MR, Churchman CW, Ackoff RL, Arnoff EL (1957) Introduction to Operations Research. Econ J 69(276):785

    Article  Google Scholar 

  8. Besharati B, Azarm S, Kannan PK (2006) A decision support system for product design selection: a generalized purchase modeling approach. Decis Support Syst 42(1):333–350

    Article  Google Scholar 

  9. Karsak EE, Kuzgunkaya O (2002) A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system. Int J Prod Econ 79(2):101–111

    Article  Google Scholar 

  10. Byun HS, Lee LH (2005) A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method. Int J Adv Manuf Technol 26(11):1338–1347

    Article  Google Scholar 

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Acknowledgements

The research was supported by the National Natural Science Foundation of China (No. 71771029).

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Correspondence to Zhigao Chen .

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Cite this paper

Chen, Z., Jiang, R. (2019). A New Data Normalization Method for Multi-criteria Decision Analysis. In: Kim, K., Kim, H. (eds) Mobile and Wireless Technology 2018. ICMWT 2018. Lecture Notes in Electrical Engineering, vol 513. Springer, Singapore. https://doi.org/10.1007/978-981-13-1059-1_24

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  • DOI: https://doi.org/10.1007/978-981-13-1059-1_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1058-4

  • Online ISBN: 978-981-13-1059-1

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