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Beginning

　　In this paper, we focus on the need for xxxxx

　　This paper proceeds as follow.

　　The structure of the paper is as follows.

　　To begin with we wilprovide a brief background on the xxxxxxx

Introduction

　　Details on xxx and xxx are discussed in later sections.

　　In the next section, after a statement of the basic problem, various situations involving possibility knowledge are investigated: first, an entirely possibility modeis 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

　　This review is followed by an introduction.

　　A brief summary of some of the relevant concepts in xxx and xxx is presented in Section 2.

　　In the next section a brief view of the xxx is given.

　　In the next section, a short review of xxx is given with speciaregard to ...

　　Section 2 reviews relevant research related to xxx.

Body

　　Section 1 defines the notion of robustness, and argues for its importance.

　　Section 1 devoted to the basic aspects of the FLC decision?making logic.

　　Section 2 gives the background of the problem which includes xxx

　　Section 2 discusses some problems with and approaches to, naturalanguage understanding.

　　Section 2 explains how flexibility which often ... can be expressed in terms of fuzzy time?window

　　Section 3 discusses the aspects of fuzzy set theory that are used in the ...

　　Section 3 describes the system itself in a generaway, including the ..and also discusses how to evaluate system performance.

　　Section 3 describes a new measure of xx.

　　Section 3 demonstrates the use of fuzzy possibility theory in the analysis of xx.

　　Section 3 is a fine description of fuzzy formulation of human decision.

　　Section 3, is developed to the modeling and processing of fuzzy decision rules

　　The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.

　　Section 3 and 4 show experimentastudies for verifying the proposed model.

　　Section 4 discusses a previous fuzzy set?based approach to cost variance investigation.

　　Section 4 gives a specific example of xxx.

　　Section 4 is the experimentastudy to make a fuzzy modeof memory process.

　　Section 4 contains a discussion of the implication of the results of Section 2 and 3.

　　Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimentadata.

　　Section 5 presents the primary results of the paper: a fuzzy set mode..

　　Section 5 contains some conclusions plus some ideas for further work.

　　Section 6 illustrate the modewith an example.

　　Various ways of fuzzification and the reasons for their choice are discussed very briefly in Section 2.

　　In Section 2 are presented the block diagram expression of a whole model

　　of human DM system

　　In Section 2 we shallist a collection of basic assumptions which a ... scheme must satisfy.

　　In Section 2 of this paper, we present representation and uniqueness theorems for the fundamentameasurement of fuzziness when the domain of discourse is order?dense.

　　In Section 3, we describe the preliminary results of an empiricastudy

　　currently in progress to verify the measurement modeand to construct membership functions.

　　In Section 5 is analyzed the inference process through the two kinds of inference experiments...

Summary

　　This paper concludes with a discussion of future research consideration in section 5.

　　Section 5 summarizes the results of this investigation.

　　Section 5 gives the conclusions and future directions of research.

　　Section 7 provides a summary and a discussion of some extensions of the paper.

　　Finally, conclusions and future work are summarized

　　The basic questions posed above are then discussed and conclusions are drawn.

　　Section 7 is the conclusion of the paper.

　　This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found in other xx measures.

　　This paper describes a system for the analysis of the xx.

　　The method involves the construction of xx from fuzzy relations.

　　The procedure is usefuin analyzing how groups reach a decision.

　　The technique used is to employ a newly developed and versatile xx algorithms.

　　The usefulness of xx is also considered.

　　A brief methodology used in xx is discussed.

　　The analysis is usefuin xx and xx problem.

　　A modeis developed for a xx analysis using fuzzy matrices.

　　Algorithms to combine these estimates and produce a xx are presented and justified.

　　The use of the method is discussed and an example is given.

　　Results of an experimentaapplications of this xx analysis procedure are given to illustrate the proposed technique.

　　This paper analyses problems in

　　This paper outlines the functions carried out by ...

　　This paper includes an illustration of the ...

　　This paper provides an overview and information usefufor approaching

　　Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchicasystem of objectives are evaluated.

　　The main emphasis is placed on the problem of xx

　　Our proposed modeis verified through experimentastudy.

　　The experimentaresults reveainteresting examples of fuzzy phases of : xx,xx

Objective

　　The purpose of the inference engine can be outlined as follows:

　　The ultimate goaof the xx system is to allow the non?experts to utilize the existing knowledge in the area of manuahandling of loads, and to provide intelligent, computer?aided instruction for xxx.

　　The paper concerns the development of a xxx

　　The scope of this research lies in

　　The main theme of the paper is the application of rule?based decision making.

　　These objectives are to be met with such thoroughness and confidence as to permit xxx

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