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Coding Theorems on New ‘Useful’ Fuzzy Information Measure of Order and Type
... noiseless coding theorem. Several other authors have given generalized coding theorems for different fuzzy information measures under the condition of uniquely ... See full document
9
Noiseless Coding Theorems of Generalized Useful Fuzzy Inaccuracy Measure of Order $\alpha$ and Type $\beta$
... entropy measure of a fuzzy set in terms of the lack of distinction between fuzzy set and its ...to measure the fuzziness called ‘exponential fuzzy ...entropy measure have been ... See full document
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Coding Theorems on New Fuzzy Information Theory of Order $\alpha$ and Type $\beta$
... imperfect information arises i.e., fuzziness. The concept of fuzzy sets introduced by Zadeh [10] uses imprecise knowledge to define an ...A fuzzy subset ‘A’ of universe X = { x 1 , x 2 , ... See full document
16
APPLICATION OF FUZZY INFORMATION MEASURE TO CODING THEORY
... for useful mean codeword length in terms of quantitative-qualitative measure of entropy introduced by Belis and Guiasu ...noiseless coding theorem by obtaining lower bounds for similar useful ... See full document
27
A New Generalized Fuzzy Information Measure and Its Properties
... a new two parametric generalized measure of fuzzy entropy of order α and type β and study its ...the new proposed measure with the numerical ...Fuzziness, Fuzzy ... See full document
21
Medical image fusion based on pulse coupled neural networks and multi feature fuzzy clustering
... Image fusion can occur at three different levels: pixel level, feature level, and decision level respectively. Gen- erally, pyramid and wavelet transforms are commonly used for multi-resolution image fusion, such as ... See full document
186
Predictive Analysis for Claims in Insurance Industry using Machine Learning
... According to IDF Atlas published in 2017, there are around 424.9 million Diabetes patients around the world aged from 20-79 years, of whom 95% suffer from Type 2 Diabetes Mellitus (T2DM). It is predicted that the ... See full document
28
Signed measure and decomposition theorems
... International Journal of Current Advanced Research Vol 4, Issue 8, pp 317-322, August 2015.. Article History:.[r] ... See full document
7
Automatic Image Segmentation using Ultra Fuzziness
... Image segmentation plays a vital role in Vision and Image processing applications. It is used widely in areas such as document image analysis, scene or map processing. Satellite imaging and material inspection in quality ... See full document
8
Fuzzy Critical Path With Centroidmeasure
... most useful in practice and is applied in the planning and control of complicated projects in real world ...in order to reduce project completion ... See full document
31
Common fixed point theorems for sequences of fuzzy mappings
... and g-contractive type fuzzy mappings and prove common fixed point theorems for sequences of fuzzy mappings on a complete metric linear space.. we define g-contractive.[r] ... See full document
348
Fuzzy Critical Path With Centroidmeasure
... with fuzzy activity times. The fuzzy measures were introduced by sugeno 1 ...centroid measure 2 for fuzzy numbers to find a critical path method in a fuzzy project network, where the ... See full document
6
Attribute Reduction in Interval and Set Valued Decision Information Systems
... incomplete information systems or incomplete decision ...combined fuzzy sets with rough sets in a fruitful way by defining rough fuzzy sets and fuzzy rough ... See full document
14
GENERAL RELATED JENSEN TYPE INEQUALITIES FOR FUZZY INTEGRALS
... A binary operator T (S) on [0,1] is called a t-seminorm (t-semiconorm), if it satisfies the above conditions (A) and (B) ((A 0 ) and (B))[15]. Notice that in the literature, a t-seminorm is also called a semicopula. By ... See full document
13
Intelligent Information Retrieval Using Hybrid of Fuzzy Set and Trust
... in order to execute the clustering algorithm on query session keyword ...and Fuzzy term-trusted document matrix was formed local to each ...The Fuzzy thesaurus is formed using ...were ... See full document
22
Fuzzy generalized bi–Γ–ideals of type (λ, θ) in ordered Γ–semigroups
... the fuzzy generalized bi Г-ideals, and introduced the concept of a ( , )- fuzzy generalized bi- Г -ideal of ...every fuzzy generalized bi Г-ideal is a ( , )-fuzzy generalized bi ... See full document
13
A Fuzzy Programming Approach to Multi-objective Mean Variance Model
... Two fuzzy non-linear programming techniques based on FNLP and FAGP are used to solve the ...that fuzzy non-linear programming technique is an efficient technique and may be used in any other financial ... See full document
62
Type-2 Fuzzy Soft Set with Distance Measure
... Especially fuzzy soft set theory is used to solve decision making ...on type-2 fuzzy soft sets and complement of type-2 fuzzy soft ... See full document
84
New Fuzzy Entropy Measure of Order α
... proposed fuzzy entropy, a numerical comparison between the proposed FE measure and some existence measures: De Luca and Termini measure, Bhandari and Pal measureand Kapur are ... See full document
6
Effective Personalization of web search based on Fuzzy Information Retrieval
... on fuzzy IR. The significance of using Fuzzy IR is to deal with vagueness and impreciseness of input queries which arises as users are not aware of their actual information need and as a result of ... See full document
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