Fuzzy‐description logic for supporting the rehabilitation of the elderly

A number of problems may arise from architectural requirements modeling, including alignment of it with business strategy, model integration and handling the uncertain and vague information. The paper introduces a method for modeling architectural requirements in a way of ontology-based and capability-oriented requirements elicitation. The requirements can be modeled within a three-layer framework. The Capability Meta-concept Framework is provided at the top level. The domain experts can capture the domain knowledge within the framework, forming the domain ontology at the second level. The domain concepts can be used for extending the UML to produce a domain-specific modeling language. A fuzzy UML is introduced to model the vague and uncertain features of the capability requirements. An algorithm is provided to transform the fuzzy UML models into the fuzzy Description Logics ontology for model verification. A case study is given to demonstrate the applicability of the method.

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A Fuzzy Description Logic with Product T-norm

2007 IEEE International Fuzzy Systems Conference ◽

10.1109/fuzzy.2007.4295443 ◽

2007 ◽

Cited By ~ 20

Author(s):

Fernando Bobillo ◽

Umberto Straccia

Keyword(s):

Description Logic ◽

Fuzzy Description

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Towards a Type-2 Fuzzy Description Logic for Semantic Search Engine

Advances in Data and Web Management - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72524-4_82 ◽

2007 ◽

pp. 805-812 ◽

Cited By ~ 5

Author(s):

Ruixuan Li ◽

Xiaolin Sun ◽

Zhengding Lu ◽

Kunmei Wen ◽

Yuhua Li

Keyword(s):

Search Engine ◽

Description Logic ◽

Semantic Search ◽

Fuzzy Description ◽

Semantic Search Engine

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A dynamic fuzzy description logic

Wuhan University Journal of Natural Sciences ◽

10.1007/s11859-008-0407-7 ◽

2008 ◽

Vol 13 (4) ◽

pp. 417-420 ◽

Cited By ~ 1

Author(s):

Wei Fang ◽

Xuefeng Xian ◽

Pengpeng Zhao ◽

Zhiming Cui

Keyword(s):

Description Logic ◽

Fuzzy Description

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Storing fuzzy description logic ontology knowledge bases in fuzzy relational databases

Applied Intelligence ◽

10.1007/s10489-017-0965-5 ◽

2017 ◽

Vol 48 (1) ◽

pp. 220-242 ◽

Cited By ~ 4

Author(s):

Fu Zhang ◽

Z. M. Ma ◽

Qiang Tong ◽

Jingwei Cheng

Keyword(s):

Relational Databases ◽

Description Logic ◽

Knowledge Bases ◽

Fuzzy Description

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The Fuzzy Description Logic ALCFH with Hedge Algebras as Concept Modifiers

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2003.p0294 ◽

2003 ◽

Vol 7 (3) ◽

pp. 294-305 ◽

Cited By ~ 22

Author(s):

Steffen Hölldobler ◽

◽

Hans-Peter Störr ◽

Tran Dinh Khang ◽

Keyword(s):

Knowledge Base ◽

Decision Procedure ◽

Description Logic ◽

Ordered Set ◽

Fuzzy Description ◽

Linearly Ordered Set

In this paper we present the fuzzy description logic ALCFH introduced, where primitive concepts are modified by means of hedges taken from hedge algebras. ALCFH is strictly more expressive than Fuzzy-ALC defined in [11]. We show that given a linearly ordered set of hedges primitive concepts can be modified to any desired degree by prefixing them with appropriate chains of hedges. Furthermore, we define a decision procedure for the unsatisfiability problem in ALCFH, and discuss knowledge base expansion when using terminologies, truth bounds, expressivity as well as complexity issues. We extend [8] by allowing modifiers on non-primitive concepts and extending the satisfiability procedure to handle concept definitions.

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