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Journal ArticleDOI

A review and comparison of six reasoning methods

H. Nakanishi, +2 more
- 01 Aug 1993 - 
- Vol. 57, Iss: 3, pp 257-294
TLDR
It is found from the investigation that: the reasoning precision, the calculation time and the number of possible input states to which a given reasoning method responds differ according to each reasoning method.
About
This article is published in Fuzzy Sets and Systems.The article was published on 1993-08-01. It has received 166 citations till now. The article focuses on the topics: Model-based reasoning & Qualitative reasoning.

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Citations
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Journal ArticleDOI

Analysis and design for a class of complex control systems part II: fuzzy controller design

TL;DR: The main contribution of this paper is the development of a decomposition principle that is, the design of a fuzzy discrete-time control system can be decomposed into a set of discrete- time subsystems.
Journal ArticleDOI

Analysis and design for a class of complex control systems part I: fuzzy modelling and identification

TL;DR: This paper is the first of two dealing with the analysis and design of a class of complex control systems using a combination of fuzzy logic and modern control theory, which can be represented by a fuzzy aggregation of a set of local linear models.
Journal ArticleDOI

Development of a systematic methodology of fuzzy logic modeling

TL;DR: A systematic methodology of fuzzy logic modeling for complex system modeling that has a unified parameterized reasoning formulation, an improved fuzzy clustering algorithm, and an efficient strategy of selecting significant system inputs and their membership functions is proposed.
Journal ArticleDOI

Stability analysis and design for a class of continuous-time fuzzy control systems

TL;DR: The main contribution of this paper is the development of an equivalent principle; that is, the design of a fuzzy control system is equivalent to thedesign of a set of linear time-invariant ‘extreme’ systems.
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A systematic study of fuzzy PID controllers-function-based evaluation approach

TL;DR: It is concluded that direct-action controllers exhibit simpler design properties than gain-scheduling controllers, and the Zadeh-Mamdani's "max-min- gravity" scheme produces the highest score in terms of nonlinearity variations, which is superior to other schemes, such as Mizumoto's "product-sum-gravity" and "Takagi-Sugeno-Kang" schemes.
References
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Journal ArticleDOI

Fuzzy identification of systems and its applications to modeling and control

TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
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Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
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An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
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Application of fuzzy algorithms for control of simple dynamic plant

TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.
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Structure identification of fuzzy model

TL;DR: The problems of structure identification of a fuzzy model are formulated and an algorithm for identifying a structure is suggested and a successive identification algorithm of the parameters is suggested.