نتایج جستجو برای: fuzzy transform

تعداد نتایج: 203232  

2010
Jamal Saeedi Ali Abedi

In this paper, we propose a new wavelet shrinkage algorithm based on fuzzy logic for multi-channel image denoising. In particular, intra-scale dependency within wavelet coefficients is modeled using a fuzzy feature. This feature space distinguishes between important coefficients, which belong to image discontinuity and noisy coefficients. Besides this fuzzy feature, we use inter-relation betwee...

Journal: :European Journal of Operational Research 2002
Dimitris K. Despotis Yannis G. Smirlis

The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units (DMUs) with exact value of inputs and outputs. For imprecise data, i.e., mixtures of interval data and ordinal data, some methods have been developed to calculate the interval of the efficiency scores. This paper constructs a procedure to measure the efficiencies of DMUs with mi...

. Fallah Jelodar, , F. Hoseinzadeh Lotfi, , N. Mikaeilvand, , T. Allahviranloo, ,

As can be seen from the definition of extended operations on fuzzy numbers, subtraction and division of fuzzy numbers are not the inverse operations to addition and multiplication . Hence, to solve the fuzzy equations or a fuzzy system of linear equations analytically, we must use methods without using inverse operators. In this paper, a novel method to find the solutions in which 0 is not ...

2013
S. Moloudzadeh P. Darabi H. Khandani

In this paper, we present a solution of an arbitrary general fully fuzzy linear systems (FFLS) in the form Ã⊗ x̃ = b̃. Where coefficient matrix à is anm×n fuzzy matrix and all of this system are elements of LR type fuzzy numbers. Our method discuss a general FFLS (square or rectangle fully fuzzy linear systems with trapezoidal or triangular LR fuzzy numbers). To do this, we transform fully fuzzy ...

2012
Dattatraya S. Bormane Shailendrakumar M. Mukane Sachin R. Gengaje R. M. Haralick K. Shanmugam Y. Wan J. Du D. Huang Z. Chi Y. Cheung X. Wang G. Zhang R. O. Duda P. E. Hart D. G. Stork G. Schaefer M. Zavisek T. Nakashima

In this paper, we develop a scale invariant texture classification method based on Fuzzy logic. It is applied for the classification of texture images. Texture is a common property of any surface having uncertainty. Two types of texture features are extracted one using Discrete Wavelet Transform (DWT) and other using Co-occurrence matrix. Co-occurrence features are obtained using DWT coefficien...

2012
Mohamed Hamlich Mohammed Ramdani

In this paper we propose an extension of classification algorithm based on ant colony algorithms to handle continuous valued attributes using the concepts of fuzzy logic. The ant colony algorithms transform continuous attributes into nominal attributes by creating clenched discrete intervals. This may lead to false predictions of the target attribute, especially if the attribute value history i...

Journal: :Computer Vision and Image Understanding 2002
Punam K. Saha Felix W. Wehrli Bryon R. Gomberg

This paper describes the theory and algorithms of distance transform for fuzzy subsets, called fuzzy distance transform (FDT). The notion of fuzzy distance is formulated by first defining the length of a path on a fuzzy subset and then finding the infimum of the lengths of all paths between two points. The length of a path π in a fuzzy subset of the n-dimensional continuous space n is defined a...

Journal: :CoRR 2004
Rajshekhar Sunderraman Haibin Wang

In this paper, we present a generalization of the relational data model based on paraconsistent intuitionistic fuzzy sets. Our data model is capable of manipulating incomplete as well as inconsistent information. Fuzzy relation or intuitionistic fuzzy relation can only handle incomplete information. Associated with each relation are two membership functions one is called truth-membership functi...

2010
J. N. Sheen

Present paper derives fuzzy economic models to evaluate the economic feasibility of information security investment. The Net Present Value (NPV), and discounted Return on Investment (dRoI) models are proposed for the execution of costbenefit analysis. Since fuzzy results are in the form of a complex nonlinear representation, and do not always provide a totally ordered set in the same way that c...

2013
Antony Selvadoss Thanamani Zhixin Shi Venu Govindaraju Manpreet Kaur Jasdeep Kaur Jappreet Kaur David Menotti Laurent Najman Jacques Facon Himanshu Aggarwal

In this paper a wavelet shrinkage algorithm based on fuzzy logic is proposed to improve the tea leaf image. The Tea Leaf images are normally changes to unclear images by the presence of noise, low or high dissimilarity both in the edge area and also in the image area. The Fuzzy shrink is used to enhance the image. In exacting, intra-scale dependency within wavelet coefficients is modeled using ...

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