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Individual and Global Assessments with Signed Distance Defuzzification, and Characteristics of the Output Distributions based on an Empirical Analysis

Topics: Approximate Reasoning and Fuzzy Inference; Complex Fuzzy Systems; Fuzzy Information Retrieval and Data Mining; Fuzzy Systems Design, Modeling and Control; Industrial, Financial and Medical Applications; Mathematical Foundations: Fuzzy Set Theory and Fuzzy Logic

Authors: Rédina Berkachy and Laurent Donzé

Affiliation: University of Fribourg, Switzerland

ISBN: 978-989-758-201-1

Keyword(s): Individual Assessment, Finanzplatz Zurich: Umfrage 2010, Fuzzy Logic, Fuzzy Statistics, Global Assessment, Linguistic Questionnaire, Normality, Output Distribution, Sampling Weights, Signed Distance Defuzzification Method.

Related Ontology Subjects/Areas/Topics: Approximate Reasoning and Fuzzy Inference ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Complex Fuzzy Systems ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Information Retrieval and Data Mining ; Fuzzy Systems ; Fuzzy Systems Design, Modeling and Control ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Mathematical Foundations: Fuzzy Set Theory and Fuzzy Logic ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Considering a particular kind of questionnaires called linguistic questionnaires, we apply fuzzy logic to provide individual and global weighted evaluations in the case of the signed distance defuzzification method. We test our method on real data coming from a survey of the financial place of Zurich (Switzerland). Furthermore, we have been enable to give a look at the output distributions, and put into evidence their statistical properties. In particular, normality of distributions draws our attention. One of our main findings is that the individual evaluations calculated with the signed distance defuzzification method tend to be normally distributed.

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Paper citation in several formats:
Berkachy, R. and Donzé, L. (2016). Individual and Global Assessments with Signed Distance Defuzzification, and Characteristics of the Output Distributions based on an Empirical Analysis.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 75-82. DOI: 10.5220/0006036500750082

@conference{fcta16,
author={Rédina Berkachy. and Laurent Donzé.},
title={Individual and Global Assessments with Signed Distance Defuzzification, and Characteristics of the Output Distributions based on an Empirical Analysis},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016)},
year={2016},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006036500750082},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016)
TI - Individual and Global Assessments with Signed Distance Defuzzification, and Characteristics of the Output Distributions based on an Empirical Analysis
SN - 978-989-758-201-1
AU - Berkachy, R.
AU - Donzé, L.
PY - 2016
SP - 75
EP - 82
DO - 10.5220/0006036500750082

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