Open AccessA Fuzzy Evaluation Approach for Scientific Research Projects with 2-Tuple Linguistic Preference Relations
Author(s) -
Zhang Hua-rong,
Xinbin Feng
Publication year - 2021
Publication title -
frontiers in business, economics and management
Language(s) - English
Resource type - Journals
ISSN - 2766-824X
DOI - 10.54097/fbem.v2i3.188
Subject(s) - tuple , preference , relation (database) , consistency (knowledge bases) , computer science , operator (biology) , process (computing) , set (abstract data type) , ranking (information retrieval) , fuzzy logic , management science , linguistics , artificial intelligence , knowledge management , mathematics , database , engineering , programming language , biochemistry , statistics , chemistry , philosophy , discrete mathematics , repressor , transcription factor , gene
Science and technology project evaluation is an important means of science and technology management. Whether the evaluation of science and technology projects is fair or not directly affects the development of national economy and the allocation of science and technology resources. Due to the complexity of the project and the fuzziness of human thinking, the expert information is often difficult to quantify in the process of project evaluation. Generally, the better choice is to express it in qualitative language. In this paper, the 2-tuple linguistic preference relation is proposed to evaluate scientific research projects. The reasonableness of the concept of complete consistency for the 2-tuple linguistic preference relation is discussed. Priority of 2-tuple linguistic preference relation is set up based on the 2-tuple weighted geometric averaging operator. Finally, combined with Science and technology project evaluation problem, the effectiveness and feasibility of the method are verified.