POOL: A Semantic Model for Approximate Reasoning and Its Application in Decision Support

:POOL—A Semantic Model for Approximate Reasoning—is based on the theory of linguistic fuzzy relations (lfr) and linguistic similarity relations (lsr). The proposed model combines the advantages of linguistic representation and numerical computation. Hence, it can facilitate knowledge representation and approximate reasoning for object/concept relation modeling especially in an environment containing imprecision, ambiguity, and/or uncertainty, which is often the case faced by knowledge engineers in building decision support systems.

• 저널Journal of Management Information Systems · 3(4) · 65–78
• 토픽Multi-Criteria Decision Making · Management Science and Operations Research
• DOI10.1080/07421222.1987.11517779
• 저자Wen-Ran Zhang