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 c
oncepts
l To begin with we will provide a brief background on the
Introduction
l This will be followed by a description of the fuzzy nature of the proble
m and a detailed presentation of how the required membership functions are def
ined.
l Details on xx and xx are discussed in later sections.
l In the next section, after a statement of the basic problem, various sit
uations involving possibility knowledge are investigated: first, an entirely p
ossibility model is proposed; then the cases of a fuzzy service time with stoc
hastic arrivals and non‑fuzzy service rule is studied; lastly, fuzzy ser
vice rule are considered.
Review
l This review is followed by an introduction.
l A brief summary of some of the relevant concepts in xxx and xxx is prese
nted 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 out
lines the need for development of possibility methods.
Body
l Section 1 defines the notion of robustness, and argues for its importanc
e.
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 langua
ge understanding.
l Section 2 explains how flexibility which often ... can be expressed in t
erms 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 analys
is 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 descr
ibes the xx strategies.
l Section 3 and 4 show experimental studies for verifying the proposed mod
el.
l Section 4 discusses a previous fuzzy set‑based approach to cost va
riance investigation.
l Section 4 gives a specific example of xxx.
l Section 4 is the experimental study to make a fuzzy m 1 2 3 4 5 6 7 8 9 10 下一页
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