1、英文论文写作常用句子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 introductionl this will b
2、e 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 possibili
3、ty 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.reviewl this review is followed by an introduction. l a brief summar
4、y 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 motivati
5、on 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 flc deci
6、sion‑making 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 time‑windowl section 3 disc
7、usses 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 ana
8、lysis 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 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 st
9、udies 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 imp
10、lication 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 secti
11、on 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 systeml in section 2 we shall list a collection of basic assumptio
12、ns 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 progr
13、ess 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 sectionl in this section, the characteristics and environment under which mrp is designed are described.l we will provide in
14、this section basic terminologies 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 practi
15、cal applications the formulae 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 following 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 investigati
