Title
Decision making with a fuzzy ontology
Abstract
Knowledge mobilisation is a transition from the prevailing knowledge management technology that has been widely used in industry for the last 20 years to a new methodology and some innovative methods for knowledge representation, formation and development and for knowledge retrieval and distribution. Knowledge mobilisation aims at coming to terms with some of the problems of knowledge management and at the same time to introduce new theory, new methods and new technology. More precisely, this paper presents an outline of a fuzzy ontology as an enhanced version of classical ontology and demonstrates some advantages for practical decision making. We show that a number of soft computing techniques, e.g. aggregation functions and interval valued fuzzy numbers, will support effective and practical decision making on the basis of the fuzzy ontology. We demonstrate the knowledge mobilisation methods with the construction of a support system for finding the best available wine for a number of wine drinking occasions using a fuzzy wine ontology and fuzzy reasoning methods; the support system has been implemented for a Nokia N900 smart phone.
Year
DOI
Venue
2012
10.1007/s00500-011-0789-x
Soft Comput.
Keywords
Field
DocType
knowledge mobilisation,practical decision,fuzzy number,knowledge retrieval,knowledge mobilisation method,knowledge representation,support system,fuzzy ontology,knowledge management,prevailing knowledge management technology
Ontology (information science),Ontology,Knowledge representation and reasoning,Process ontology,Computer science,Fuzzy logic,Artificial intelligence,Knowledge retrieval,Upper ontology,Fuzzy number,Machine learning
Journal
Volume
Issue
ISSN
16
7
1433-7479
Citations 
PageRank 
References 
24
0.77
18
Authors
3
Name
Order
Citations
PageRank
Christer Carlsson11844164.70
Matteo Brunelli230317.62
József Mezei320220.07