Between two forms of uncertainty as non-coincidence with oneself, Cartesian imprecision and Merleau-Ponty’s blur, there is the Goethean trouble, the empirical-transcendental condition of all vision which, both sensitive and metaphysical, frees the gaze ...
André Scala
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Fuzzy structural risk of default for banks in Southern Africa
This paper proposes and examines a new structural risk of default model for banks in frictional and fuzzy financial markets. It is motivated by the need to fill the shortcomings of probability-based credit risk metric models that are characterised by ...
Ephraim Matanda +2 more
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The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades
In order to improve the reliability analysis precision of turbine blades, the fuzzy response surface method (FRSM, Fuzzy Response Surface Method) of structural reliability analysis is put forward considering the fuzziness of input variables and limit ...
PAN Cheng-yi +2 more
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A Bipolar Pythagorean Neutrosophic Algebraic Lattice Model with Hybrid Entropy Weighting for Credit Risk Evaluation for Agricultural SMEs Supply Chain Finance [PDF]
In agricultural supply chain finance (SCF), small and medium-sized enterprises (SMEs) often face severe credit risk due to unstable production, market volatility, and limited access to formal financial records.
Jianbing Yin
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Fuzzy GML Modeling Based on Vague Soft Sets
The Open Geospatial Consortium (OGC) Geography Markup Language (GML) explicitly represents geographical spatial knowledge in text mode. All kinds of fuzzy problems will inevitably be encountered in spatial knowledge expression.
Bo Wei +3 more
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A modified D numbers methodology for environmental impact assessment
Environmental impact assessment (EIA) is usually evaluated by many factors influenced by various kinds of uncertainty or fuzziness. As a result, the key issues of EIA problem are to represent and deal with the uncertain or fuzzy information.
Ningkui Wang, Daijun Wei
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An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining
Clustering algorithms for multi-database mining (MDM) rely on computing (n2−n)/2 pairwise similarities between n multiple databases to generate and evaluate m∈[1,(n2−n)/2] candidate clusterings in order to select the ideal partitioning that optimizes a ...
Salim Miloudi, Yulin Wang, Wenjia Ding
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Three Kinds of Rising-Falling Contours in German wh-Questions: Evidence From Form and Function
The intonational realization of utterances is generally characterized by regional as well as inter- and intra-speaker variability in f0. Category boundaries thus remain “fuzzy” and it is non-trivial how the (continuous) acoustic space maps onto (discrete)
Katharina Zahner-Ritter +6 more
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Organization Management Classification Objectives
In the article are considered entities classification issues for the purposes of decision-making in commercial companies and also there are offered algorithm and tools for employees efficiency analysis conducting in the context of clients’ requests ...
Imran Magerramov +4 more
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Sentiment Analysis of Covid19 Tweets Using A MapReduce Fuzzified Hybrid Classifier Based On C4.5 Decision Tree and Convolutional Neural Network [PDF]
This contribution proposes a new model for sentiment analysis, which combines the convolutional neural network (CNN), C4.5 decision tree algorithm, and Fuzzy Rule-Based System (FRBS). Our suggested method consists of six parts.
Es-sabery Fatima +3 more
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