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
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.
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.
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
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