Show simple item record Fu, Xin Shen, Qiang 2009-09-04T08:54:43Z 2009-09-04T08:54:43Z 2009-09-04
dc.identifier.citation Fu , X & Shen , Q 2009 , ' A Novel Framework of Fuzzy Complex Numbers and its Application to Compositional Modelling ' pp. 536-541 . en
dc.identifier.other PURE: 124197
dc.identifier.other dspace: 2160/2908
dc.description X. Fu and Q. Shen. A Novel Framework of Fuzzy Complex Numbers and its Application to Compositional Modelling. Proceedings of the 18th International Conference on Fuzzy Systems (FUZZ-IEEE'09), pp. 536-541, 2009. en
dc.description.abstract Dealing with various inexact pieces of information has become an intrinsically important issue in knowledge-based reasoning, because many problem domains involve imprecise, incomplete and uncertain information. Indeed, different approaches exist for reasoning with inexact knowledge and data. However, the common strategy they adopt is to integrate various types of inexact information into a global measure. This may destroy the underlying semantics associated with different information components. This paper presents an innovative notion of fuzzy complex numbers (FCNs), which extends real complex numbers to representing two-dimensional uncertainties conjunctively without necessarily integrating them. This new framework is applied to supporting Compositional Modelling (CM). In particular, calculus of FCNs over arithmetic and propositional relations is developed to entail scenario model synthesis from model fragments, and modulus of FCNs is introduced to constrain the scenario descriptions. The utility and usefulness of this work are illustrated by means of an example for constructing possible scenario descriptions from given evidence in the crime investigation domain. en
dc.format.extent 6 en
dc.language.iso eng
dc.relation.ispartof en
dc.title A Novel Framework of Fuzzy Complex Numbers and its Application to Compositional Modelling en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en

Files in this item

Aside from theses and in the absence of a specific licence document on an item page, all works in Cadair are accessible under the CC BY-NC-ND Licence. AU theses and dissertations held on Cadair are made available for the purposes of private study and non-commercial research and brief extracts may be reproduced under fair dealing for the purpose of criticism or review. If you have any queries in relation to the re-use of material on Cadair, contact

This item appears in the following Collection(s)

Show simple item record

Search Cadair

Advanced Search