fuzzy measure (Sugeno)
Fuzzy Measure: A Fuzzy Set Theoretic Approach
... Classical measure theory [3] is studied based on additive ...like fuzzy logic [2], artificial intelligence, decision making, data mining and re-identification problem ...non-additive measure. In this ...
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Pseudo Arithmetic Operations on Fuzzy Measure
... Taking into account human subjective measures in engineering,science fuzzy measures have been intensively discussed. Since sugeno (5) defined a fuzzy measure as a measure having monotonicity ...
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Fuzzy Measure–Structural Characteristics
... Abstract. In this paper, some structural characteristics of fuzzy measure such as null- additivity, autocontinuity, uniform autocontinuity, subadditivity, and superadditivity are defined with examples. Some ...
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Comparison of fuzzy integral fuzzy measure based ensemble algorithms with the state of the art ensemble algorithms
... the Fuzzy Integral (FI) aggregation defined with respect to a Fuzzy Measure (FM) ...level Fuzzy Integral Multiple Kernel Learning (DeFIMKL) [4] was introduced, which aggregates the results of ...
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Fuzzy measure of secondary students’ attitude towards Mathematics
... It is highly recommended that the maximum effort should be given to improve the student’s attitude towards mathematics and conduct further studies to find factors influencing student’s attitude towards mathematics. ...
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Fuzzy Measure: A Different View
... existing fuzzy measure “” is defined in a different manner so as to ensure and enhance the effectiveness of fuzzy ...a fuzzy measure and where “” fails to be a fuzzy ...
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Data Analysis with Fuzzy Measure on Intuitionistic Fuzzy Sets
... between fuzzy set and intuitionistic fuzzy sets is clear, because IFSs include hesitance – uncertainty - by ...design fuzzy entropy on IFSs. In previous results, fuzzy entropy was designed as ...
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Extension on the fuzzy integral based on ⊕ decomposable measure
... of fuzzy integral is an important part of fuzzy ...of fuzzy sets suggested by Zadeh [10] is a mathematical expression of sets without precise boundaries and has been applied to various problems in ...
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Extension of the fuzzy integral for general fuzzy set valued information
... Abstract—The fuzzy integral (FI) is an extremely flexible aggregation ...and fuzzy measure (FM) for the case of higher-order uncertain information (both integrand and ...on fuzzy number- (FN), ...
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Identification of relationship between housing difficulty and property values in urban areas
... Total Fuzzy and Relative (TFR) approach, based on a fuzzy measure of the degree of association of an individual to the totality of the poor and an approach of se- mantic distance (Munda, 1995), based ...
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An approach to interval-valued intuitionistic fuzzy decision making based on induced generalized symmetrical Choquet Shapley operator
... -fuzzy measure to dene two interval-valued intuitionistic fuzzy Choquet Shapley aggregation ...Intuitionistic Fuzzy Hybrid Shapley Averaging (IG-IVIFHSA) ...intuitionistic fuzzy ...
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A Form of Information Entropy
... In 1967 J. Kampé de Feriét and B. Forte gave a new definition of information for a crisp event, from axiomatic point of view, without using probability [8]-[10]. Following this theory other authors have presented ...
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A New Generalized Fuzzy Information Measure and Its Properties
... generalized measure of fuzzy entropy of order α and type β and study its ...proposed measure with the numerical ...Fuzziness, Fuzzy measure of information, Fuzzy set and ...
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L-Vague Semirings of L-Semiring
... of fuzzy mathematics like fuzzy algebra,fuzzy topology ,fuzzy control theory ,fuzzy measure theory ...the fuzzy theory takes care of membership of an element x only, that ...
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Fuzzy Valued Measure Based on Integral, Decomposition and Representation under Closed Intervals
... In fuzzy mathematics the term " fuzzy measure" is used to denote the notion which generalizes a measure - an additive function which maps − algebra to the Banach ...the fuzzy ...
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Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
... or measure scores of the divided criteria groups or ...DEMATEL, fuzzy measure, and fuzzy integral are used to overcome these ...while fuzzy measure and fuzzy integral are ...
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Type-2 Fuzzy Soft Set with Distance Measure
... Abstract Molodtsov.D initiated the concept of soft set theory, which has become an effective mathematical tool for dealing with uncertainty. Especially fuzzy soft set theory is used to solve decision making ...
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A bidirectional subsethood based similarity measure for fuzzy sets
... between fuzzy sets as both the vertical-slices and α -cuts of the fuzzy set are generally (closed) ...their fuzzy set representations in ...corresponding fuzzy set pairs are ...
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On Intuitionistic Fuzzy Divergence Measure with Application to Edge Detection
... intuitionistic fuzzy divergence value of the each image window with 16 fuzzy image template is calculated using the max–min relationship 13 , as given ...
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A Theoretical Development of Distance Measure for Intuitionistic Fuzzy Numbers
... So after a short review of the existing measures between IFSs, in our opinion, all the measures have some advantages as well as some disadvantages. Therefore we cannot say that one particular distance measure is ...
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