1、英语论文写作常用经典句子英语论文写作常用经典句子Beginningl 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 conceptsl To begin with we will provide a brief background on the Introductio
2、nl 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 invol
3、ving possibility knowledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and nonfuzzy service rule is studied; lastly, fuzzy service rule are considered.Reviewl This review is followed by an introduction. l A brief
4、 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 m
5、otivation 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.Bodyl Section 1 defines the notion of robustness, and argues for its importance.l Section 1 devoted to the basic aspects of the F
6、LC decisionmaking logic.l Section 2 gives the background of the problem which includes xxxl 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 timewindowl Section 3 discusses t
7、he 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 o
8、f 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 rulesl 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 f
9、or verifying the proposed model.l Section 4 discusses a previous fuzzy setbased 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 th
10、e 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 illustrat
11、e 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 modelof human DM systeml In Section 2 we shall list a collection of basic assumptions which a . sc
12、heme 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 orderdense.l In Section 3, we describe the preliminary results of an empirical study currently in progress to verify the meas
13、urement model and to construct membership functions.l In Section 5 is analyzed the inference process through the two kinds of inference experiments.This Sectionl In this section, the characteristics and environment under which MRP is designed are described.l We will provide in this section basic ter
14、minologies and notations which are necessary for the understanding of subsequent results.Next Sectionl The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.l However, it is cumbersome for this purpose and in practical applications the f
15、ormulae were rearranged and simplified as discussed in the next section.l The three components will be described in the next two section, and an example of xx analysis of a computer information system will then illustrate their use.l We can interpret the results of Experiments I and II as in the fol
16、lowing sections.l The next section summarizes the method in a from that is useful for arguments based on xxSummaryl This paper concludes with a discussion of future research consideration in section 5.l Section 5 summarizes the results of this investigation.l Section 5 gives the conclusions and futu
17、re directions of research.l Section 7 provides a summary and a discussion of some extensions of the paper.l Finally, conclusions and future work are summarizedl The basic questions posed above are then discussed and conclusions are drawn.l Section 7 is the conclusion of the paper.Chapter 0. Abstract
18、l A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables.l This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found in other xx measures.l This paper describes a system for the a
19、nalysis of the xx.l The method involves the construction of xx from fuzzy relations.l The procedure is useful in analyzing how groups reach a decision.l The technique used is to employ a newly developed and versatile xx algorithms.l The usefulness of xx is also considered.l A brief methodology used
20、in xx is discussed.l The analysis is useful in xx and xx problem.l A model is developed for a xx analysis using fuzzy matrices.l Algorithms to combine these estimates and produce a xx are presented and justified.l The use of the method is discussed and an example is given.l Results of an experimenta
21、l applications of this xx analysis procedure are given to illustrate the proposed technique.l This paper analyses problems in l This paper outlines the functions carried out by .l This paper includes an illustration of the .l This paper provides an overview and information useful for approachingl Em
22、phasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated.l The main emphasis is placed on the problem of xxl Our proposed model is verified through experimental study.l The experimental results reveal interesting exam
23、ples of fuzzy phases of : xx,xxl The compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables.l A didactic example is included to illustrate the computational procedureChapter 1. IntroductionTimel Over the course of the past 30 years, . has emerged form in
24、tuitive l Technological revolutions have recently hit the industrial worldl The advent of . systems for has had a significant impact on the l The development of . is exploredl During the past decade, the theory of fuzzy sets has developed in a variety of directions,l The concept of xx was investigat
25、ed quite intensively in recent yearsl There has been a turning point in . methodology in accordance with the advent of .l A major concern in . today is to continue to improve.l A xx is a latecomer in the part representation arena.l At the time of this writing, there is still no standard way of xxl A
26、lthough a lot of effort is being spent on improving these weaknesses, the efficient and effective method has yet to be developed.l The pioneer work can be traced to xx 1965.l To date, none of the methods developed is perfect and all are far from ready to be used in commercial systems.Objective / Goa
27、l / Purposel The purpose of the inference engine can be outlined as follows:l The ultimate goal of the xx system is to allow the nonexperts to utilize the existing knowledge in the area of manual handling of loads, and to provide intelligent, computeraided instruction for xxx.l The paper concerns th
28、e development of a xxl The scope of this research lies inl The main theme of the paper is the application of rulebased decision making.l These objectives are to be met with such thoroughness and confidence as to permit .l The objectives of the . operations study are as follows:l The primary purpose/
29、consideration/objective ofl The ultimate goal of this concept is to providel The main objective of such a . system is tol The aim of this paper is to provide methods to construct such probability distribution.l In order to achieve these objectives, an xx must meet the following requirements:l In ord
30、er to take advantage of their similarityl more research is still required before final goal of . can be completedl In this trial, the objective is to generate.l for the sake of concentrating on . research issuesl A major goal of this report is to extend the utilization of a recently developed proced
31、ure for the xx.l For an illustrative purpose, four wellknown OR problems are studied in presence of fuzzy data: xx.l A major thrust of the paper is to discuss approaches and strategies for structuring .methodsl This illustration points out the need to specifyl The ultimate goal is both descriptive and prescriptive.l Chapter 2. Literature Reviewl A wealth of information is to be found in the statistics literature, for example, regarding x
