Beginning
In this paper, we focus on the need for
This paper proceeds as follow.
The structure of the paper is as follows.
In this paper, we shalfirst briefly introduce fuzzy sets and related concepts
To begin with we wilprovide a brief background on the
Introduction
This wilbe followed by a description of the fuzzy nature of the problem and a detailed presentation of how the required membership functions are defined.
Details on xx and xx are discussed in later sections.
In the next section, after a statement of the basic problem, various situations involving possibility knowledge are investigated: first, an entirely possibility modeis 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.
Review
This review is followed by an introduction.
A brief summary of some of the relevant concepts in xxx and xxx is presented in Section 2.
In the next section a brief view of the .... is given.
In the next section, a short review of ... is given with speciaregard to ...
Section 2 reviews relevant research related to xx.
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 outlines the need for development of possibility methods.
Body
Section 1 defines the notion of robustness, and argues for its importance.
Section 1 devoted to the basic aspects of the FLC decision?making logic.
Section 2 gives the background of the problem which includes xxx
Section 2 discusses some problems with and approaches to, naturalanguage understanding.
Section 2 explains how flexibility which often ... can be expressed in terms of fuzzy time?window
Section 3 discusses the aspects of fuzzy set theory that are used in the ...
Section 3 describes the system itself in a generaway, including the ..and also discusses how to evaluate system performance.
Section 3 describes a new measure of xx.
Section 3 demonstrates the use of fuzzy possibility theory in the analysis of xx.
Section 3 is a fine description of fuzzy formulation of human decision.
Section 3, is developed to the modeling and processing of fuzzy decision rules
The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.
Section 3 and 4 show experimentastudies for verifying the proposed model.
Section 4 discusses a previous fuzzy set?based approach to cost variance investigation.
Section 4 gives a specific example of xxx.
Section 4 is the experimentastudy to make a fuzzy modeof memory process.
Section 4 contains a discussion of the implication of the results of Section 2 and 3.
Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimentadata.
Section 5 presents the primary results of the paper: a fuzzy set mode..
Section 5 contains some conclusions plus some ideas for further work.
Section 6 illustrate the modewith an example.
Various ways of fuzzification and the reasons for their choice are discussed very briefly in Section 2.
In Section 2 are presented the block diagram expression of a whole model
of human DM system
In Section 2 we shallist a collection of basic assumptions which a ... scheme must satisfy.
In Section 2 of this paper, we present representation and uniqueness theorems for the fundamentameasurement of fuzziness when the domain of discourse is order?dense.
In Section 3, we describe the preliminary results of an empiricastudy
currently in progress to verify the measurement modeand to construct membership functions.
In Section 5 is analyzed the inference process through the two kinds of inference experiments...
This Section
In this section, the characteristics and environment under which MRP is
designed are described.
We wilprovide in this section basic terminologies and notations which
are necessary for the understanding of subsequent results.
Next Section
The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.
However, it is cumbersome for this purpose and in practicaapplications the formulae were rearranged and simplified as discussed in the next section.
The three components wilbe described in the next two section, and an example of xx analysis of a computer information system wilthen illustrate their use.
We can interpret the results of Experiments I and II as in the following sections.
The next section summarizes the method in a from that is usefufor arguments based on xx
Summary
This paper concludes with a discussion of future research consideration in section 5.
Section 5 summarizes the results of this investigation.
Section 5 gives the conclusions and future directions of research.
Section 7 provides a summary and a discussion of some extensions of the paper.
Finally, conclusions and future work are summarized
The basic questions posed above are then discussed and conclusions are drawn.
Section 7 is the conclusion of the paper.
Chapter 0. Abstract
A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimentavariables.
This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found in other xx measures.
This paper describes a system for the analysis of the xx.
The method involves the construction of xx from fuzzy relations.
The procedure is usefuin analyzing how groups reach a decision.
The technique used is to employ a newly developed and versatile xx algorithms.
The usefulness of xx is also considered.
A brief methodology used in xx is discussed.
The analysis is usefuin xx and xx problem.
A modeis developed for a xx analysis using fuzzy matrices.
Algorithms to combine these estimates and produce a xx are presented and justified.
The use of the method is discussed and an example is given.
Results of an experimentaapplications of this xx analysis procedure are given to illustrate the proposed technique.
This paper analyses problems in
This paper outlines the functions carried out by ...
This paper includes an illustration of the ...
This paper provides an overview and information usefufor approaching
Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchicasystem of objectives are evaluated.
The main emphasis is placed on the problem of xx
Our proposed modeis verified through experimentastudy.
The experimentaresults reveainteresting examples of fuzzy phases of : xx,xx
The compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables.
A didactic example is included to illustrate the computationaprocedure
Chapter 1. Introduction
Time
Over the course of the past 30 years, .. has emerged form intuitive
Technologicarevolutions have recently hit the industriaworld
The advent of ... systems for has had a significant impact on the
The development of ... is explored
During the past decade, the theory of fuzzy sets has developed in a variety of directions,
The concept of xx was investigated quite intensively in recent years
There has been a turning point in ... methodology in accordance with the advent of ...
A major concern in ... today is to continue to improve...
A xx is a latecomer in the part representation arena.
At the time of this writing, there is stilno standard way of xx
Although a lot of effort is being spent on improving these weaknesses, the efficient and effective method has yet to be developed.
The pioneer work can be traced to xx [1965].
To date, none of the methods developed is perfect and alare far from ready to be used in commerciasystems.
Objective / Goa/ Purpose
The purpose of the inference engine can be outlined as follows:
The ultimate goaof the xx system is to allow the non?experts to utilize the existing knowledge in the area of manuahandling of loads, and to provide intelligent, computer?aided instruction for xxx.
The paper concerns the development of a xx
The scope of this research lies in
The main theme of the paper is the application of rule?based decision making.
These objectives are to be met with such thoroughness and confidence as to permit ...
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