Join and Meet Operations for Interval-Valued Complex Fuzzy Logic

Date

2016

Advisors

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ISSN

DOI

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Type

Conference

Peer reviewed

Yes

Abstract

Interval-valued complex fuzzy logic is able to handle scenarios where both seasonality and uncertainty feature. The interval-valued complex fuzzy set is defined, and the interval valued complex fuzzy inferencing system outlined. Highly pertinent to complex fuzzy logic operations is the concept of rotational invariance, which is an intuitive and desirable characteristic. Interval-valued complex fuzzy logic is driven by interval-valued join and meet operations. Four pairs of alternative algorithms for these operations are specified; three pairs possesses the attribute of rotational invariance, whereas the other pair lacks this characteristic.

Description

DMU Interdisciplinary Group in Intelligent Transport Systems

Keywords

complex fuzzy logic, interval-valued, seasonality, uncertainty, rotational invariance, join and meet operations

Citation

Greenfield, S., Chiclana, F. and Dick, S. (2016) Join and Meet Operations for Interval-Valued Complex Fuzzy Logic. 35th North American Fuzzy Information Processing Society Annual Conference, NAFIPS 2016.

Rights

Research Institute