Fuzzy Measures
A note on univariate variability of fuzzy measures
... studied on the distance between set order fuzzy Measures. Chan et al. (Bhattacharjee, 1991) have extensively studied set ordering among functions with a application to reliability. In the light of these ...
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Incremental learning fuzzy measures with Choquet integrals in fusion system
... knowledge is known as incremental learning. Various algorithms have been suggested for incremental learning the in the literature. One of typical algorithms is the (fuzzy) ARTMAP[21] , which is based on generating ...
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Data informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers
... data-informed fuzzy measures to produce composite ranks of each of the nine available ...the fuzzy integral that can leverage the proposed data-informed fuzzy ...data-informed fuzzy ...
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APPLICATION OF FUZZY MEASURES IN THE TASK OF ASSESSING THE COMPETITIVE POSITION OF THE COMPANY
... Этот процесс явно моделирует извлечение знаний из высказываний экспертов о связях между кри - териями для построения нечеткой меры , а так - же использует экспертные глобальные оценки в[r] ...
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Evaluating the efficiency and classifying the fuzzy data: A DEA based approach
... and fuzzy measures in order to classify flex- ible ...but fuzzy DEA models built on the basis of α-level sets require the situation of a series of LP models and thus considerable compu- tational ...
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A New Clustering Method Based On Type-2 Fuzzy Similarity and Inclusion Measures
... inclusion measures between interval type-2 fuzzy sets have been presented in ...inclusion measures between general type-2 fuzzy sets were presented ...type-2 fuzzy sets by using ...
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Pseudo Arithmetic Operations on Fuzzy Measure
... subjective measures in engineering,science fuzzy measures have been intensively ...a fuzzy measure as a measure having monotonicity property instead of ...decomposable measures where ...
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Algorithm of arithmetical operations with fuzzy numerical data
... a fuzzy measure on the Cartesian product of spaces, on which fuzzy measures are ...the fuzzy measure of any relation Н will be set as ...
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Fuzzy Critical Path with Various Measures
... with fuzzy activity times. The fuzzy measures were introduced by ...for fuzzy numbers to a critical path method in a fuzzy project network, where the duration time of each activity in a ...
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Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets
... Abstract—Similarity measures provide one of the core tools that enable reasoning about fuzzy ...similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few ...
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GENERALIZED EXPONENTIAL FUZZY INFORMATION MEASURES
... The remainder of the paper is organized as follows. Section 2 is devoted to introduce some well-known concepts, and the notation related to fuzzy set theory and Fuzzy measures of information. In ...
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Fuzzy Valued Measure Based on Integral, Decomposition and Representation under Closed Intervals
... of fuzzy set was introduced by Zadeh ...of fuzzy sets have been developed one of them is the fuzzy stochastic, fuzzy measures which utilizes the fuzziness and randomness in the analysis ...
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On Casaro Sequence Space of Fuzzy Numbers Defined by a Modulus Function
... of fuzzy sets and fuzzy set operations were first introduced by Zadeh ...of fuzzy sets such as fuzzy topological spaces, similarity relations and fuzzy orderings, fuzzy ...
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Fuzzy Weighted Similarity Measures for Memory Based Collaborative Recommender Systems
... for fuzzy sets representing deviation values is wider and more flexible than that of ratings ...possible fuzzy sets for the de- viation value for a CRS with a 5-point rating ...triangular fuzzy sets ...
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SYSTEM PERFORMANCE MEASURES OF A MACHINE INTERFERENCE FUZZY QUEUE MODEL
... Fuzzy set theory was formally introduced by Zadeh in 1965; the theory is primarily concerned with quantifying the vagueness in human thoughts and perceptions. The theory also allows mathematical operators such as ...
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Analysing fuzzy sets through combining measures of similarity and distance
... the measures, according to the DM the most distant pair is a and the second most distant is e, however, it is the other way round according to the comparative ...
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Reliability Measures Measurement under Rule-Based Fuzzy Logic Technique
... of fuzzy reliability has been presented by many researchers, including Zadeh [1], Ross [2], Kahraman ...of fuzzy success/ failure state to be the system structure, the performance and other considerations ...
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An Approach to Validation of Fuzzy Qualitative Temporal Relations
... B OJANA D ALBELO B A SI ˇ C ´ received her B.S. degree in mathematics from the Faculty of Sciences, University of Zagreb, in 1982 and the M.S. and PhD. degrees in computer science from the Faculty of Electrical ...
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Referential Success of Set Referring Expressions with Fuzzy Properties
... lem that arises in REG with fuzzy properties is that, as the fulfilment of properties by objects is a mat- ter of degree, so it is the referential success. Several proposals for determining the degree of ...
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A secure trust model based on fuzzy logic in vehicular Ad Hoc networks with fog computing
... the fuzzy output. The fuzzy inference engine is a developed group of rules using expert ...the fuzzy inference engine to determine plausibility level is based on 6 ...
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