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International Conference on Advanced Machine Learning Technologies and Applications

AMLTA 2021: Advanced Machine Learning Technologies and Applications pp 863–874Cite as

A Novel Evidential Reasoning Approach for Multiple Attribute Decision Making Considering Reliability

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

In actual decision-making, recognizing, analyzing, and reasoning is vital to solving problems in which information plays an important part. The evidential reasoning (ER) approach provides a great way to address multi-attribute decision-making (MADM) problems, including qualitative and quantitative attributes, based on a distributed assessment framework. However, in the ER context, choosing the optimal schemes is based primarily on the aggregation of attributes’ distributed assessments. The consistency of assessments for each attribute is ignored, all that will affect the evaluation's reliability. This study puts forward a new model based on the ER to handle MADM problems, considering the consistency of attributes assessment. A reliable measure for assessments, calculated with the entropy, is figured out to represent the discrete degree of evaluating so that effectiveness and reliability and are both considered. A numerical example illustrates the decision-making process, and the properties of the new model are investigated. It is shown that the new approach is more reasonable and effective.

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Acknowledgments

This research is supported by the Humanities and Social Sciences Foundation of the Ministry of Education of China under Grant No. 17YJC630213, and the Natural Science Foundation of Fujian Province of China under Grant No. 2017J01514.

Author information

Authors and Affiliations

  1. Fujian Provincial Engineering Research Center on Cybersecurity and Law Enforcement Technology, Fujian Police College, Fuzhou, Fujian, China

    Meijing Zhang

  2. Fujian Provincial Key Laboratory of Supervision and Control of Digital Network Crime, Fujian Police College, Fuzhou, Fujian, China

    Meijing Zhang

Authors
  1. Meijing Zhang
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Corresponding author

Correspondence to Meijing Zhang .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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Zhang, M. (2021). A Novel Evidential Reasoning Approach for Multiple Attribute Decision Making Considering Reliability. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_80

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