A practical review and taxonomy of fuzzy expert systems: methods and applications

Abstract

Purpose Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems. Design/methodology/approach The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems. Findings The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field. Originality/value Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations

“…It contributes to reducing the repetitive administrative tasks of HR managers by helping HR managers to take decisions and predict employee behavior at work (Nair, 2017;Bersin, 2018). AIT is mainly used in recruitment, training, employee engagement and employee retention which helps to reduce cost, save time and complete HR tasks more accurately (McDonald et al, 2017;Kumar, 2019;Tavana and Hajipour, 2019). As per Alexander Mann Solutions' research, 96% of HR professionals surveyed believe that AI technology can improve talent acquisition (Nair, 2017).…”

Expert Web System: Diagnosis of Visual Diseases

“…These types of expert systems are classified into three different categories. One of the first categories is the Fuzzy expert system, which works under a mathematical logic receiving continual numbers as input data and performing a process that provides a translation of linguistic terminology [12].…”

Fuzzy Transforms for Hesitant, Soft or Intuitionistic Fuzzy Sets

“…Hence, the fuzzy inference is a mapping Z(X) → Z(Y) that transforms the input fuzzy sets in X to the output fuzzy sets in Y according the rule R. IF-THEN rules and the fuzzy inference mechanism are typically used in fuzzy decision systems or fuzzy expert systems, or fuzzy control systems. For illustrative references of this applications see [3,24,25,28,53].…”