2,610 research outputs found
FUZZY COMPARATIVE CONCORDANCE ANALYSIS. Proposal and evaluation by a case study
In this paper it is proposed a fuzzy multiple attribute analysis, that we have called comparative concordance, as a help instrument to the decision-making process in an environment of lack of precise information as it generally is the decision-making in regional planning. Through an application to the selection of proceeding programs of the Environmental Plan of Andalusia, 1995-2000, it will be compared to other methods.fuzzy sets, multiple attribute decision, environmental planning
The value of e-customer satisfaction to internet companies
The objective of the present work is to analyse Internet-based Company
customer satisfaction with the purpose of incorporating a measurement of this
intangible asset to the value of the company. This analysis begins with the
relation of attributes of greater presence or importance in the generation of
satisfaction for the average customer. A fuzzy treatment to the assigned
valuations of importance for a concrete list of attributes in a selected company
is applied, with the purpose of determining the value of the competitive
advantages of this company with respect to other companies of similar activity
An Evolutionary Learning Approach for Adaptive Negotiation Agents
Developing effective and efficient negotiation mechanisms for real-world applications such as e-Business is challenging since negotiations in such a context are characterised by combinatorially complex negotiation spaces, tough deadlines, very limited information about the opponents, and volatile negotiator preferences. Accordingly, practical negotiation systems should be empowered by effective learning mechanisms to acquire dynamic domain knowledge from the possibly changing negotiation contexts. This paper illustrates our adaptive negotiation agents which are underpinned by robust evolutionary learning mechanisms to deal with complex and dynamic negotiation contexts. Our experimental results show that GA-based adaptive negotiation agents outperform a theoretically optimal negotiation mechanism which guarantees Pareto optimal. Our research work opens the door to the development of practical negotiation systems for real-world applications
Fuzzy Systems in Business Valuation
This research aims to develop a model that is able to integrate and objectify information provided by
the different business valuation methods, incorporating quality management in its formal approach,
which to date has not been considered in the literature about business valuation or quality
management. Firstly, the company is valued using the methods which best adapt to its specific
characteristics. Because of the subjectivity inherent in any valuation process, the results will be
expressed through Triangular Fuzzy Numbers (TFN). These Fuzzy Numbers will be aggregated and
summarized by applying Basic Defuzzification Distribution Uncertain Probabilistic Ordered
Weighted Averaging operator (BADD-UPOWA). The weighting factors will be: the degree of
confidence in each of the business valuation methods applied, and the innovative use of the
companyâs position on Crosbyâs Quality Administration Grid. The results from application of the
model in a case study show a significant reduction in uncertainty in contrast to the initial valuations.
Moreover, the proposed methodology is seen to increase the final value of the company as its
advances in quality management
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and its approximation. In an effort to elaborate the study, formulas are designed for computing the ameliorated approximation by using a multitude of examples. The numerical samples will be exemplified to illuminate the improvement of the nearest triangular approximation (Abbasbandy et al., Triangular approximation of fuzzy numbers using α-weighted valuations, Soft Computing, 2019). A variety of features of the ameliorated approximation are then proved. © 2022 Tofigh Allahviranloo et al
Consensus theories: an oriented survey
This article surveys seven directions of consensus theories: Arrowian results, federation consensus rules, metric consensus rules, tournament solutions, restricted domains, abstract consensus theories, algorithmic and complexity issues. This survey is oriented in the sense that it is mainly â but not exclusively â concentrated on the most significant results obtained, sometimes with other searchers, by a team of French searchers who are or were full or associate members of the Centre d'Analyse et de MathĂ©matique Sociale (CAMS).Consensus theories ; Arrowian results ; aggregation rules ; metric consensus rules ; median ; tournament solutions ; restricted domains ; lower valuations ; median semilattice ; complexity
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