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Patent Quality Evaluation Model Based on Hesitant Fuzzy Soft Set

  • Li Zhang
  • Qian Li
  • Jian-li Yu
Conference paper

Abstract

The existing evaluation methods of patent quality take expert scoring as the principal thing. Each expert is required to score all the indexes and to assign the corresponding weight according to the relative importance of the index. But index system generally involves multiple indicators in different fields. Experts can not make accurate evaluation of indicators beyond their research fields, and fuzzy indicators also make experts hesitate and wander between several evaluation values. Hesitant fuzzy soft sets can more accurately describe the fuzzy nature of things, have no restrictions on optional objects, and take full account of the degree of hesitation of expert decision making. Accordingly, this paper proposes a evaluation model of patent quality based on hesitant fuzzy soft sets and gives specific evaluation steps.

Keywords

Evaluation index system Hesitant fuzzy soft set Patent Patent quality 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Management EngineeringZhengzhou University of AeronauticsZhengzhouChina

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