Showing papers on "Neuro-fuzzy published in 1982"

Fuzzy rules generation for fuzzy control

Abstract: The paper deals with the design problem of control algorithms in fuzzy systems described by means of fuzzy relational equations, which can be implemented in the framework of fuzzy controllers applied to control of ill-defined systems. Some ways leading to assigning varying grades of importance to goals and constraints imposed in control process and their influence on the relation of the fuzzy controller is discussed in detail.

Fuzzy models of unit operations

Abstract: A classical quantitative analysis is not appropriate for some ill-defined or/and very complex chemical engineering problems. An application of the fuzzy approach is therefore proposed. It is possible to build up a linguistic model. The specification of the grade of membership functions for linguistic values of the linguistic variables allows the use of a fuzzy model.

Fuzzy design of military information systems

Abstract: On the supposition that military operations are by nature fuzzy endeavours, some fuzzy set theory concepts are applied to the analysis of combat. More specifically, the military command and control function, which directs combat operations, is examined from the perspective of a supporting management information system (MIS), Since a military commander's perspective of the situation can be as important as the facts of the situation, a partitioned data base to support the MIS is introduced. One part contains data which may be either sharp or fuzzy; the other part, information relating to context. It is suggested that probability concepts apply to the former, and that possibility concepts apply to the latter. Data fusion is defined as the joining of the two partitions to provide information in context to the relevant field commander and his staff. Based on a simple military scenario, the design implications of this fusion are explored. A number of examples using recent fuzzy set results are applied to a conceptual fuzzy data base. In particular, both probabilistic and possibilistic entropy appear to operate within the data base, and structure it serves. Both entropy concepts lead to the introduction of information context regeneration along the command network serviced by the fuzzy MIS. The idea of fuzzy containment in a real system is discussed. It is asserted that both the classical hierarchial structure and the centralized control structures of the military serve to keep fuzziness within bounds. The concept of contextual noise is introduced. Throughout, fuzzy set theory is advanced as a conceptual framework for design rather than a detailed design tool. This suggestion is based partially on the evidence that the universe of fuzzy data and information is much larger than that of sharp data. Moreover, in military situations, there may only be fuzzy information.

Fuzzy Perception, Fuzzy Modelling and Fuzzy Control of the Environment in Buildings

Abstract: Fuzzy theory provides a way of dealing analytically with systems that embody imprecision or uncertainty of a non-statistical nature. While imprecision, incompleteness or unreliability of information are generally acknowledged to characterize perception of the environment, research findings continue to be analysed by statistical techniques. This paper argues that fuzzy theory is a more appropriate and powerful tool for perception studies and discusses the new approach that such studies might take. Similarly, fuzzy theory is argued to provide the appropriate algorithmic base for modelling the environmental control actions of building occupants, and to provide an advantageous way of programming various forms of automated environmental control.

Fuzzy set aids for telling a computer how to decide

Abstract: The authors describe the use of fuzzy sets in telling a computer how to make decisions in a dynamic task. Fuzzy set theory is briefly reviewed and its applications to such tasks using fuzzy state and state action matrices are explained. An in-trail vehicle-following task, the simulations and displays of which were computer generated, is used to test the method experimentally. The results of the experiment are outlined, and the effectiveness of the method is discussed using time history graphs of the in-trail following simulation. Finally, future development possibilities for the technique are outlined.

Multi-Criteria Analysis and Fuzzy Set Theory Applications to Urban Design

Abstract: This paper provides an elementary introduction to the application of fuzzy sub-set theory to complex planning situations. Two computer applications in which multi-criteria analysis and fuzzy sub-set theory play a part are concisely explained. Multi-criteria analysis is applied to the reconstruction of an ancient temple and the stimulation of creativity is considered.