Evaluation is one of the most complicated mental processes. Vagueness of concepts and qualitative aspects of referees' understanding are the main sources of uncertainties in evaluation. Fuzzy logic theory is a powerful tool which can model these vagueness and uncertainties and has been applied to many practical problems. In this paper, the subject of academic books evaluation has been described and its important criteria have been discussed. Then, using Fuzzy logic principles, an expert system has been developed to model vagueness of different evaluation aspects. The main result of this paper is design of a Fuzzy-based expert system which can model and simulate expertness of referees and can help the intelligent human to manipulate and process different uncertain indices and finally extract an exact result which can simulate the expertness. The proposed system has been applied to a practical evaluation problem and through it the approach has been explained and discussed.
Montazer,D. G. A. and Bayat,R. (2023). Modeling of Academic Books Evaluation System Based on Fuzzy Logic Principles. Quarterly Journal of Research and Planning in Higher Education, 8(1), 1-26.
MLA
Montazer,D. G. A. , and Bayat,R. . "Modeling of Academic Books Evaluation System Based on Fuzzy Logic Principles", Quarterly Journal of Research and Planning in Higher Education, 8, 1, 2023, 1-26.
HARVARD
Montazer D. G. A., Bayat R. (2023). 'Modeling of Academic Books Evaluation System Based on Fuzzy Logic Principles', Quarterly Journal of Research and Planning in Higher Education, 8(1), pp. 1-26.
CHICAGO
D. G. A. Montazer and R. Bayat, "Modeling of Academic Books Evaluation System Based on Fuzzy Logic Principles," Quarterly Journal of Research and Planning in Higher Education, 8 1 (2023): 1-26,
VANCOUVER
Montazer D. G. A., Bayat R. Modeling of Academic Books Evaluation System Based on Fuzzy Logic Principles. Quarterly Journal of Research and Planning in Higher Education, 2023; 8(1): 1-26.