英文论文写作常用句子_论文指导
beginning
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 model of memory proc
ess.
l section 4 contains a discussion of the implication of the results of sec
tion 2 and 3.
l section 4 applies this fuzzy measure to the analysis of xx and illustrat
e 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 discu
ssed 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 the
orems for the fundamental measurement of fuzziness when the domain of discours
e 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 members
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 model of memory proc
ess.
l section 4 contains a discussion of the implication of the results of sec
tion 2 and 3.
l section 4 applies this fuzzy measure to the analysis of xx and illustrat
e 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 discu
ssed 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 the
orems for the fundamental measurement of fuzziness when the domain of discours
e 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 members
[1] ...