منابع مشابه
FUZZY INFORMATION AND STOCHASTICS
In applications there occur different forms of uncertainty. The twomost important types are randomness (stochastic variability) and imprecision(fuzziness). In modelling, the dominating concept to describe uncertainty isusing stochastic models which are based on probability. However, fuzzinessis not stochastic in nature and therefore it is not considered in probabilisticmodels.Since many years t...
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This paper proposes neuro-fuzzy engineering as a novel approach to spatial data analysis and for building decision making systems based on spatial information processing, and the development of this approach by the authors is presented in this paper. It has been implemented as a software environment and is illustrated on a case study problem. 1 Address correspondence to: Assoc. Prof. N.K. Kasab...
متن کاملfuzzy information and stochastics
in applications there occur different forms of uncertainty. the twomost important types are randomness (stochastic variability) and imprecision(fuzziness). in modelling, the dominating concept to describe uncertainty isusing stochastic models which are based on probability. however, fuzzinessis not stochastic in nature and therefore it is not considered in probabilisticmodels.since many years t...
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چکیده ندارد.
15 صفحه اولFuzzy Knowledge Management through Knowledge Engineering and Fuzzy Logic
Knowledge management (KM) facilitates the capture, storage, and dissemination of knowledge using information technology. In this paper, we propose a FKM (Fuzzy Knowledge Management) approach to managing fuzzy knowledge through knowledge engineering and fuzzy logic. First, fuzziness is introduced into CGs (Conceptual Graphs) for constructing fuzzy knowledge models. Fuzzy knowledge models are use...
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ژورنال
عنوان ژورنال: Fuzzy Information and Engineering
سال: 2023
ISSN: ['1616-8658', '1616-8666']
DOI: https://doi.org/10.1007/12543.1616-8666