Showing papers on "Neuro-fuzzy published in 1979"
TL;DR: The so-called linguistic models that arise from this notation are shown to be extremely useful for modelling highly nonlinear low-order systems and for determining, explicitly, the rules of 'optimal' fuzzy logic controllers.
283 citations
TL;DR: The fuzzy logic controller is reviewed and its parameter are explicitly identified and the problem of initial selection and subsequent adjustment of the parameters are discussed in detail by example.
166 citations
01 Jul 1979-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: The concepts of truth value restriction and fuzzy logical relation are used to give a general approach to fuzzy logic and also fuzzy reasoning involving propositions with imprecise or vague description.
Abstract: The concepts of truth value restriction and fuzzy logical relation are used to give a general approach to fuzzy logic and also fuzzy reasoning involving propositions with imprecise or vague description.
96 citations
TL;DR: A branch‐and‐bound algorithm for solving the problem of determining a maximizing decision in the multistage control of a fuzzy system in a fuzzy environment is proposed and is simple and relatively efficient.
Abstract: In this paper, the problem of determining a maximizing decision in the multistage control of a fuzzy system in a fuzzy environment is considered. In the fuzzy system under control, the state is assumed to be fuzzy, while the control, not fuzzy. The fuzzy environment is given by fuzzy constraints and fuzzy goals imposed on particular control stages. The number of control stages, i.e. the termination time, is assumed to be fixed and specified; the same applies to the initial state. The fuzzy decision is defined as the intersection of fuzzy goals and fuzzy constraints. For solving the above problem, a branch‐and‐bound algorithm is proposed. The algorithm is simple and relatively efficient. Two examples are given.
45 citations
01 May 1979-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: This paper extends the method of approximate reasoning based upon fuzzy logic as proposed by Baldwin (1978) to arguments of a more complex nature, namely those with mixed inputs.
Abstract: In this paper we extend the method of approximate reasoning based upon fuzzy logic as proposed by Baldwin (1978) to arguments of a more complex nature, namely those with mixed inputs. Two approaches are given, both of which have their analogies in ordinary two valued logic.
34 citations
TL;DR: An improved algorithm for determining the (fuzzy) final rating of a multiple-aspect alternative according to a method proposed in an earlier paper (Baas ad Kwakernaak, 1977) is stated and proved.
27 citations
01 Dec 1979
TL;DR: This paper points out that the consequences inferred by the methods proposed do not always fit intuitions, and suggests several new methods which fit the authors' intuitions under several criteria such as modus ponens and modus tollens.
Abstract: L.A. Zadeh and E.H. Mamdani have proposed methods for a fuzzy reasoning in which the antecedent involves a fuzzy conditional proposition "If x is A then y is B", with A and B being fuzzy concepts. This paper points out that the consequences inferred by their methods do not always fit our intuitions, and suggests several new methods which fit our intuitions under several criteria such as modus ponens and modus tollens.
23 citations
TL;DR: A model of fuzzy team decision, based on the concept of fuzzy sets, is proposed to formulate the team decision processes which contain fuzzy states, fuzzy Information functions, fuzzy information signals, fuzzy decision functions and fuzzy actions.
22 citations
TL;DR: The results obtained are a further step towards an integrated ‘theory of uncertainty’ and give new insights into problems of inductive reasoning and processes of ‘precisiation’, and demonstrate that sequential fuzzy data may be modelled naturally in terms of ’possibility’ vectors.
13 citations
TL;DR: It is proposed that fuzzy theory be applied to the modelling of environmental control by building occupants using fuzzy variables and fuzzy algorithms, which reflect the imprecision and complexity of the control exercised by people.
Abstract: Current models of the environmental performance of buildings embody physical variables and are either deterministic or probabilistic or a combination of the two It is argued that this is an inappropriate basis for any submodel of occupant action to control the environment Fuzzy variables and fuzzy algorithms reflect the imprecision and complexity of the control exercised by people and have been used to model human control of industrial processes It is proposed that fuzzy theory be applied to the modelling of environmental control by building occupants A brief tutorial on fuzzy reasoning and its industrial applications is given and a research programme to establish a fuzzy model of environmental control is discussed
Proceedings Article•
20 Aug 1979TL;DR: The authors propose a generalized truth value instead of an ordinary one which appears in Zadeh's truth qualification rule which one of the two persons, say a listener in the dialog, can understand by referring the generalizedtruth value what the other wants to communicate.
Abstract: Dialog is considered as the exchange of information between two persons who speak natural language to understand each other. However natural language is so ambiguous both in expression and logic that for understanding it is very important to supplement the information through some reasoning or imagination. In this paper, we analyze this thinking process using fuzzy sets theory and approach a modelling of dialog. The dialog in the model is characterized by the set of objects talked about, the set of their attributes, etc. There are two important factors in the process of dialog: fuzzy information on the objects given by one person and the other person's fuzzy knowledge on the objects. Both fuzzy information and knowledge are expressed by fuzzy sets. The main problem in the paper is to compare these two fuzzy sets with each other. For this purpose the concept of truth qualification in fuzzy logic is useful.
The authors propose a generalized truth value instead of an ordinary one which appears in Zadeh's truth qualification rule. Then one of the two persons, say a listener in the dialog, can understand by referring the generalized truth value what the other wants to communicate.
Journal Article•
09 Apr 1979
TL;DR: The enumeration of the number of distinct fuzzy switching functions will be addressed as well as minimization and simplification procedures.
Abstract: The theory of fuzzy switching functions described in this paper is related to the theory of fuzzy sets and to the treatment of switching circuits in the binary world. In this paper we are concerned with the study of such imprecise mechanisms, their properties, and possible applications. The enumeration of the number of distinct fuzzy switching functions will be addressed as well as minimization and simplification procedures.