fuzzy sets

Furthermore, due to disturbing factors, the result of image thresholding based on fuzzy sets is not always satisfactory.

The objective of this paper is to generalize the concept of fuzzy sets from a real space to a topological space.

The concept of vagueness was first proposed by the American professor Zadeh in his article entitled Fuzzy Sets.

Finally, the relation between cut sets on intuitionistic fuzzy sets and an intuitionistic fuzzy subset of a group is discussed.

On the basis of rough sets and both-branch fuzzy sets, the paper explicates the concept of rough both branch fuzzy sets.

Their works have shown that the theory of fuzzy sets has intimate connection with probability theory.

Secondly, the definitions of cut set on intuitionistic fuzzy sets and an intuitionistic nested set are given.

During the past decade, the theory of fuzzy sets has developed in a variety of directions.

Representation theorem reflects the basic characteristics of both-branch fuzzy sets from another side.

Firstly, a new kind of correlation coefficient between intuitionistic fuzzy sets is defined, and the incidence matrix is given.

Therefore, multiple attribute plan recognition models based on Intuitionistic fuzzy sets were built up and calculating methods were given.

The characteristics of rough down branch fuzzy sets, rough up branch fuzzy sets and rough both-branch fuzzy sets are discussed.

By integrating the classical Pawlak rough sets with the interval-valued fuzzy sets, the interval-valued rough-fuzzy sets model is made up.

The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network.

Based Fuzzy Sets Deadline Set, Fuzzy Sets decomposition theorem to establish Fuzzy Fuzzy Sets distance.

This makes the basic theory and application of the interval-valued fuzzy sets more perfect.

These ordinary terms represent fuzzy sets in a particular problem.

Compared to traditional fuzzy sets, type-2 fuzzy sets have much higher fuzzy quality and can describe uncertain information even integrally.

First we review the definition and basic properties of interval-valued and interval-valued fuzzy sets.

This essay use an untraditional way to prove two plenty condition of a fuzzy sets is fuzzy convex sets in the lower semi continuity.

In this paper, we will study the similarity measure of interval-valued fuzzy sets and its application problem.

Chapter 1 introduces the basic concepts of fuzziness and fuzzy sets, and reviews the research progress of fuzzy measures and fuzzy entropy.

It also offers a real example to show that selecting loader arms based on similarity measure between fuzzy sets is feasible.

At last, some properties of intuitionistic fuzzy sets were presented and proved.

According to theory of generalized fuzzy sets, the dynamic edge detection algorithm of DICOM Data was given.

In chapter 1, the developing background of fuzzy sets, fuzzy logic systems and fuzzy dynamical systems is summarized.

The simulation results show that the method of IVIFSP is more flexible than that of the traditional intuitionistic fuzzy sets.

Combination with rough sets and fuzzy sets has enormous development potentials in the field of aircraft fault diagnosis.

Fuzzy network use fuzzy sets to describe the duration of activities, indicates the fuzziness have an effect on duration.

To the issues of situation assessment, a technique for inference based on intuitive fuzzy sets theory is proposed in this paper.

Chapter 2 presents the theories of fuzzy sets and fuzzy logic.

In order to guarantee the reductive of the result and the normality and convexity of the fuzzy sets.

Areas of the nature of the fuzzy sets.

So we introduce type-2 fuzzy sets in this paper and make some improvement on traditional FCM based on type-2 fuzzy theory.

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Roughness Measure for Fuzzy Sets

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How to select loader arms based on the similarity measure between fuzzy sets