@INPROCEEDINGS { Rsds3517,
author = {Wildberger, Martin and Lin, Tsau Young},
title = {Algebra and Geometry of Rough Logic Controllers},
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery},
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery},
pages = {111-117},
publisher = {Japanese Research Group on Rough Sets},
address = {Tokyo, Japan},
month = {November},
year = 1996,
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira},
isbn = {4-947717-01-7},
abstract = {Rough logic government, a design methodology for intelligent controls, is a mathematical formalism that integrates the soft (rough and fuzzy logic) and hard (different geometry) computing approaches. It consists of a series of transformations of mathematical "models" of a control system. These "models" are mathematical representations of domain experts' intuition and experiences that are not verified and validated until the last step. In this paper, algebraic and geometric structures of rough logic government are studied. The geometry may inspire a new insight into the nature of design process. The algebra may provide a new methodology in decomposing and aggregating large scale control systems.},
keywords = {control, fuzzy logic, evolutionary computing, modal logic, rough logic (RL), rough set, },
}