Beginning l In this paper, we focus on the need for l This paper proceeds as follow. l The structure of the paper is as follows. l In this paper, we shall first briefly introduce fuzzy sets and related concepts l To begin with we will provide a brief background on the
Introduction l This will be followed by a description of the fuzzy nature of the problem and a detailed presentation of how the required membership functions are defined.
l Details on xx and xx are discussed in later sections. l In the next section, after a statement of the basic problem, various situations involving possibility knowledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and non‑fuzzy service rule is studied; lastly, fuzzy service rule are considered.
Review l This review is followed by an introduction. l A brief summary of some of the relevant concepts in xxx and xxx is presented in Section 2. l In the next section a brief view of the .... is given. l In the next section, a short review of ... is given with special regard to ... l Section 2 reviews relevant research related to xx. l Section 1.1 briefly surveys the motivation for a methodology of action, while 1.2 looks at the difficulties posed by the complexity of systems and outlines the need for development of possibility methods.
Body l Section 1 defines the notion of robustness, and argues for its importance. l Section 1 devoted to the basic aspects of the FLC decision‑making logic. l Section 2 gives the background of the problem which includes xxx l Section 2 discusses some problems with and approaches to, natural language understanding. l Section 2 explains how flexibility which often ... can be expressed in terms of fuzzy time‑window l Section 3 discusses the aspects of fuzzy set theory that are used in the ... l Section 3 describes the system itself in a general way, including the ..and also discusses how to evaluate system performance. l Section 3 describes a new measure of xx. l Section 3 demonstrates the use of fuzzy possibility theory in the analysis of xx. l Section 3 is a fine description of fuzzy formulation of human decision. l Section 3, is developed to the modeling and processing of fuzzy decision rules l The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies. l Section 3 and 4 show experimental studies for verifying the proposed model. l Section 4 discusses a previous fuzzy set‑based approach to cost variance investigation. l Section 4 gives a specific example of xxx. l Section 4 is the experimental study to make a fuzzy model of memory process. l Section 4 contains a discussion of the implication of the results of Section 2 and 3. l Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data. l Section 5 presents the primary results of the paper: a fuzzy set model .. l Section 5 contains some conclusions plus some ideas for further work. l Section 6 illustrate the model with an example. l Various ways of fuzzification and the reasons for their choice are discussed very briefly in Section 2. l In Section 2 are presented the block diagram expression of a whole model of human DM system l In Section 2 we shall list a collection of basic assumptions which a ... scheme must satisfy. l In Section 2 of this paper, we present representation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discourse is order‑dense.
l 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. l In Section 5 is analyzed the inference process through the two kinds of inference experiments...
This Section l In this section, the characteristics and environment under which MRP is designed are described. l We will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results.
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