The Application of Fuzzy Logic for Managerial Decision Making Processes

Latest Research and Case Studies

herausgegeben von: Andreas Meier, Edy Portmann, Kilian Stoffel, Luis Terán

Verlag: Springer International Publishing

Buchreihe : Fuzzy Management Methods

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making processes; how to generate better results with fuzzy management methods in cases of imprecise information; new personalization concepts enabled by fuzzy logic for the offering of customized products and services especially in the electronic market; and lastly the application of fuzzy analysis for executives using natural rather than computer language. The combination of research papers and case studies makes it a valuable resource both for researchers and practitioners in the digital economy.

Inhaltsverzeichnis

Frontmatter

Logical Analogies Between Intuitionistic Fuzzy Sets and Rough Sets

Abstract

In this note we prove that in the framework of intuitionistic fuzzy sets can be defined connective systems which satisfy some logical rules generalizing the rules of the constructive logic with strong negation (CLSN). As rough set systems defined by a quasiorder serve as models for CLSN, similarly, intuitionistic sets can be viewed as models of its mentioned generalization.

László Kovács, Sándor Radeleczki

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

Abstract

This paper presents a conceptual approach to enhance knowledge management by synchronizing mind maps and fuzzy cognitive maps. Using mind maps takes advantage of human creativity, while fuzzy cognitive maps can store and retrieve information expressed in natural language. Applying the concepts of cognitive computing makes it possible to gather and extract relevant information from a data pool. Therefore, this approach is intended to provide a framework that enhances knowledge management. To demonstrate the potential of this framework, a use case concerning the development of a smart city app is presented.

Sara D’Onofrio, Edy Portmann, Patrick Kaltenrieder, Thomas Myrach

Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction

Abstract

Several atomic predicates merged by the and connective is a usual structure of database queries. Even when all but one predicate are satisfied, the query returns an empty result. In many cases users are interested in tuples, which meet majority of atomic predicates. Furthermore, not all atomic predicates are equally important. This paper is focused on merging constraints and wishes by the asymmetric conjunction: and if possible. We empowered this noncommutative conjunction to accomplish quantified queries. Aspects of this option are discussed and supported by illustrative example. In addition, this approach contributes to the field dealing with the empty answer problems.

Miroslav Hudec

Statistical Characteristics of Distributions Obtained Using the Signed Distance Defuzzification Method Compared to Other Methods

Abstract

Having in mind the evaluation of linguistic questionnaires, we aim to present a comparison in terms of statistical measures between on one side a relative recent defuzzification method, known as the signed distance method, and on the other side, other well-known traditional methods. The distribution’s properties of data resulting from the defuzzification process are generally not given or investigated. By simulations, we intend to investigate the location, dispersion and symmetry characteristics of the estimated distributions. Our simulations for different cases of input distributions and membership functions show first that the computed statistical measures don’t depend on the sample sizes. This phenomenon is particularly remarkable in the case of the signed distance and the mean of the maximum methods. Second, the signed distance is the method tending the most to conserve the symmetry of the distributions while the smallest and largest of maximum are the worst in keeping the skewness property.

Rédina Berkachy, Laurent Donzé

An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform

Abstract

The success of the service provider business is highly correlated with quantity and the quality of business processes. The aim of this research project is to support Service Management in discovering and prediction of the impacts of back-end component failures on the business services. In this paper we show the application of the intuitionistic-fuzzy approach to the dependency model that is developed for a complex e-health platform hosting environment. For this model, selected fuzzy-related components are mapped to business services with corresponding performance parameters. The objective is to calculate coupling metrics and offer insight into the dependencies’ nature, supports root case, and business impact analysis. Developed prototype combined with ongoing research supports discovery of the cause of SLA violations and improves analyses to make appropriate adjustment decisions during runtime. This research project is supported by Centris AG; a leading provider of IT solutions and outsourcing services.

Daria Balkenende, Roland Schüetze, Andreas Meier

A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness

Abstract

Real-life environments are inadequate to be modelled by crisp values, since human reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (imprecise) data. The purpose of this paper is the development of a powerful and useful method based on fuzzy TOPSIS which is able to aggregate judgements of 8.921 decision makers in a real fuzzy environment. The main goal of the proposed modified fuzzy TOPSIS method is the efficiently ordering of a big volume of partial ranking lists related with 17 factors which are associated with the job satisfaction in fifteen different sectors. The results are very promising to continue our research to this direction and make further investigations.

Zoumpolia Dikopoulou, Gonzalo Nápoles, Elpiniki Papageorgiou, Koen Vanhoof

A Fuzzy-Based Approach to Estimate Management Processes Risks

Abstract

This paper presents a fuzzy logic model that can be used to estimate the risks associated with the key processes of management of mega infrastructure projects. A three-dimensional model is proposed. The first dimension entails the effectiveness of the various management processes (communication, coordination, decision making and knowledge sharing). The second dimension refers to the criticalness level (or the importance) of the management processes itself. The third dimension includes the importance of the stakeholders involved in the project. A survey form was developed to assess the validity of the suggested risk modeling approach. Only the design stage was considered here in demonstrating the modeling approach.

Yaser E. Hawas, Moza T. Al-Nahyan

Backmatter

Titel: The Application of Fuzzy Logic for Managerial Decision Making Processes
herausgegeben von: Andreas Meier
Edy Portmann
Kilian Stoffel
Luis Terán
Verlag: Springer International Publishing
Electronic ISBN: 978-3-319-54048-1
Print ISBN: 978-3-319-54047-4
DOI: https://doi.org/10.1007/978-3-319-54048-1