Application of two fuzzy models using knowledge-based and linear aggregation approaches to identifying flooding-prone areas in Tehran

The paper is focused on solving the problem of assessing the impact of repair-building works on the technical condition of objects near which these works were or are being carried out. Particular attention is paid to the analysis of the problems that accompany the creation of expert systems for supporting forensic building-technical expertise. The main aim of the work: conceptual modeling of an expert system for supporting forensic building-technical expertise. Object of research: the process of execution of forensic building-technical expertise and expert research. Solved problem: automation of a system capable of functioning in conditions of fuzzy uncertainty caused by the non-uniformity of the logic of the process of performing forensic building-technical expertise and the ambiguity and inconsistency of the information provided for research. Main scientific results: a model of a knowledge-based system is proposed and the use of neuro-fuzzy networks is justified to solve the problem of supporting the decision to assess the impact of repair-building works on the technical condition of the object, which has become the subject of expertise. Field of practical use of research results: forensic activities in the framework of building-technical expertise to determine the possible causes of deterioration in the technical condition of structural elements of buildings and their individual premises. Innovative technological product: a support system for forensic building-technical expertise based on knowledge and neuro-fuzzy models. Scope of application of an innovative technological product: forensic and investigative practice in resolving issues requiring the use of special knowledge in assessing the impact of repair-building works on the technical condition of nearby facilities.

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Application of Fuzzy Logic for Monitoring of Appearance of Heat Waves in Large Towns

MENDEL ◽

10.13164/mendel.2018.1.165 ◽

2018 ◽

Vol 24 (1) ◽

pp. 165-172

Author(s):

Jiri Bila ◽

Jakub Jura ◽

Martin Novak

Keyword(s):

Heat Waves ◽

Maximum Temperature ◽

System Function ◽

Knowledge Based System ◽

Fuzzy Models ◽

Knowledge Based ◽

Relevant Variables ◽

Large Town ◽

The City ◽

Selection Of

In the paper are introduced some results of the influence of cooling effect of vegetation on the climate in large towns. The results have been acquired from measurement of some meteorological variables in selected parts of large town and from application of fuzzy models on the prediction of maximum day temperature. Great motivation of the paper is not only course of maximum temperature in standard days but especially the more dramatic situations as is appearance of Heat Waves. Besides the selection of relevant variables and the design of knowledge based system (with application) is performed an approximation operation for knowledge based systém function taking into account the conditions throughout the city.

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Prediction of Business Failure with Fuzzy Models

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488518400020 ◽

2018 ◽

Vol 26 (Suppl. 1) ◽

pp. 21-38

Author(s):

Antonio Terceño ◽

Hernán Vigier ◽

Valeria Scherger

Keyword(s):

Decision Making ◽

Reference Model ◽

Fuzzy Theory ◽

Fuzzy Model ◽

Financial Knowledge ◽

Business Failure ◽

Financial Situation ◽

Owa Operators ◽

Fuzzy Models ◽

Knowledge Based

This paper extends the theory of fuzzy diseases predictions in order to detect the causes of business failure. This extension is justified through the advantages of the reference model and its originality. Moreover, the fuzzy model is completed by this proposal and some parts of it have been published in isolated articles. For this purpose, the fuzzy theory is combined with the OWA operators to identify the factors that generate problems in firms. Also, a goodness index to validate its functionality and prediction capacity is introduced. The model estimates a matrix of economic- financial knowledge based on matrices of causes and symptoms. Knowing the symptoms makes it possible to estimate the causes, and managing them properly, allows monitoring and improving the company’s financial situation and forecasting its future. Also with this extension, the model can be useful to develop suitable computer systems for monitoring companies’ problems, warning of failures and facilitating decision-making.

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Is the Personal Always Political?

Journal of Individual Differences ◽

10.1027/1614-0001/a000230 ◽

2017 ◽

Vol 38 (3) ◽

pp. 133-143 ◽

Cited By ~ 4

Author(s):

Danny Osborne ◽

Yannick Dufresne ◽

Gregory Eady ◽

Jennifer Lees-Marshment ◽

Cliff van der Linden

Keyword(s):

Survey Data ◽

National Survey ◽

Negative Relationship ◽

Openness To Experience ◽

Political Sophistication ◽

Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

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