【正文】 lated to xx. 6. Section briefly surveys the motivation for a methodology of action, while looks at the difficulties posed by the plexity of systems and outlines the need for development of possibility methods. Body 1. Section 1 defines the notion of robustness, and argues for its importance. 2. Section 1 devoted to the basic aspects of the FLC decisionmaking logic. 3. Section 2 gives the background of the problem which includes xxx 4. Section 2 discusses some problems with and approaches to, natural language understanding. 5. Section 2 explains how flexibility which often ... can be expressed in terms of fuzzy timewindow 6. Section 3 discusses the aspects of fuzzy set theory that are used in the ... 7. Section 3 describes the system itself in a general way, including the ….. and also discusses how to evaluate system performance. 8. Section 3 describes a new measure of xx. 9. Section 3 demonstrates the use of fuzzy possibility theory in the analysis of xx. 10. Section 3 is a fine description of fuzzy formulation of human decision. 11. Section 3 is developed to the modeling and processing of fuzzy decision rules 12. The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies. 13. Section 3 and 4 show experimental studies for verifying the proposed model. 14. Section 4 discusses a previous fuzzy setbased approach to cost variance investigation. 15. Section 4 gives a specific example of xxx. 16. Section 4 is the experimental study to make a fuzzy model of memory process. 17. Section 4 contains a discussion of the implication of the results of Section 2 and 3. 18. Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data. 19. Section 5 presents the primary results of the paper: a fuzzy set model .. 20. Section 5 contains some conclusions plus some ideas for further work. 21. Section 6 illustrates the model with an example. 22. Various ways of justification and the reasons for their choice are discussed very briefly in Section 2. 23. In Section 2 are presented the block diagram expression of a whole model of human DM system 24. In Section 2 we shall list a collection of basic assumptions which a ... scheme must satisfy. 25. In Section 2 of this paper, we present representation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discourse is orderdense. 26. In Section 3, we describe the preliminary results of an empirical study currently in progress to verify the measurement model and to construct membership functions. 27. In Section 5 is analyzed the inference process through the two kinds of inference experiments... This Section 1. In this section, the characteristics and environment under which MRP is designed are described. 2. We will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results. Next Section 2. The next section describes the mathematics that goes into the puter implementation of such fuzzy logic statements. 3. However, it is cumbersome for this purpose and in practical applications the formulae were rearranged and simplified as discussed in the next section. 4. The three ponents will be described in the next two section, and an example of xx analysis of a puter information system will then illustrate their use. 5. We can interpret the results of Experiments I and II as in the following sections. 6. The next section summarizes the method in a from that is useful for arguments based on xx Summary 1. This paper concludes with a discussion of future research consideration in section 5. 2. Section 5 summarizes the results of this investigation. 3. Section 5 gives the conclusions and future directions of research. 4. Section 7 provides a summary and a discussion of some extensions of the paper. 5. Finally, conclusions and future work are summarized 6. The basic questions posed above are then discussed and conclusions are drawn. 7. Section 7 is the conclusion of the paper. Chapter 0. Abstract 1. A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables. 2. This paper examines a new measure of xx in xx based on fuzzy mathematics which overes the difficulties found in other xx measures. 3. This paper describes a system for the analysis of the xx. 4. The method involves the construction of xx from fuzzy relations. 5. The procedure is useful in analyzing how groups reach a decision. 6. The technique used is to employ a newly developed and versatile xx algorithm. 7. The usefulness of xx is also considered. 8. A brief methodology used in xx is discussed. 9. The analysis is useful in xx and xx problem. 10. A model is developed for a xx analysis using fuzzy matrices. 11. Algorithms to bine these estimates and produce a