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英語論文寫作常用句子

時間:2005-7-20 11:06:59  作者:alex 鍙彲鑻辮-騫磋交浜虹殑鑻辮鍚璁粌騫沖彴
bsp;  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 exp

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