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JACIII Vol.10 No.5 pp. 633-646
doi: 10.20965/jaciii.2006.p0633
(2006)

Paper:

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Generalizing Possibility-Based Fuzzy Relational Models

Michinori Nakata

Department of Management Science, Faculty of Management and Information Science, Josai International University, 1 Gumyo, Togane, Chiba 283-8555, Japan

Received:
January 5, 2006
Accepted:
April 27, 2006
Published:
September 20, 2006
Creative Commons License
Keywords:
imperfect information, semantic ambiguity, indistinguishability, membership attribute, possibility-based fuzzy relational model
Abstract
The generalized possibility-based fuzzy relational model we propose frees possibility-based fuzzy relational models from the semantic ambiguity and the indistinguishability of membership attribute values. We demonstrate extended relational algebra in this data model. To prevent the semantic ambiguity, a membership attribute is attached to every attribute. This clarifies where each membership attribute value comes from. What each membership attribute value means depends on the property of that attribute. To prevent the indistinguishability of membership attribute values, the value is expressed in a possibility distribution in interval [0,1]. This clarifies what effects the imprecise data value allowed for an attribute has on the membership attribute value. No semantic ambiguity and no indistinguishability of membership attribute values therefore exists in the generalized possibility-based fuzzy relational model.
Cite this article as:
M. Nakata, “Generalizing Possibility-Based Fuzzy Relational Models,” J. Adv. Comput. Intell. Intell. Inform., Vol.10 No.5, pp. 633-646, 2006.
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