306 research outputs found
Expertons and uncertain averaging operators versus correlational approaches: A case study on corporate social responsibility and effectiveness
The purpose of this paper is to explore the relationship between corporate social responsibility (CSR), work-life balance (WLB) and effectiveness by comparing a correlational approach, expertons method and uncertain averaging operators (uncertain average [UA], uncertain weighted average [UWA], uncertain probabilistic aggregation [UPA] and uncertain probabilistic weighted averaging [UPWA])
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
Decision making with Dempster-Shafer belief structure and the OWAWA operator
[EN] A new decision making model that uses the weighted average and the ordered weighted averaging (OWA) operator in the Dempster-Shafer belief structure is presented. Thus, we are able to represent the decision making problem considering objective and subjective information and the attitudinal character of the decision maker. For doing so, we use the ordered weighted averaging Âż weighted average (OWAWA) operator. It is an aggregation operator that unifies the weighted average and the OWA in the same formulation. This approach is generalized by using quasi-arithmetic means and group decision making techniques. An application of the new approach in a group decision making problem concerning political management of a country is also developed.We would like to thank the anonymous reviewers for valuable comments that have improved the quality of the paper. Support from the Spanish Ministry of Education under project JC2009-00189 , the University of Barcelona (099311) and the European Commission (PIEFGA-2011-300062) is gratefully acknowledgedMerigĂł, JM.; Engemann, KJ.; Palacios MarquĂŠs, D. (2013). Decision making with Dempster-Shafer belief structure and the OWAWA operator. Technological and Economic Development of Economy. 19(sup 1):S100-S118. https://doi.org/10.3846/20294913.2013.869517SS100S11819sup 1AntucheviÄienÄ, J., Zavadskas, E. K., & ZakareviÄius, A. (2010). MULTIPLE CRITERIA CONSTRUCTION MANAGEMENT DECISIONS CONSIDERING RELATIONS BETWEEN CRITERIA / DAUGIATIKSLIAI STATYBOS VALDYMO SPRENDIMAI ATSIĹ˝VELGIANT ÄŽ RODIKLIŲ TARPUSAVIO PRIKLAUSOMYBÄ. Technological and Economic Development of Economy, 16(1), 109-125. doi:10.3846/tede.2010.07Brauers, W. K. M., & Zavadskas, E. K. (2010). 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The uncertain induced quasi-arithmetic OWA operator. International Journal of Intelligent Systems, 26(1), 1-24. doi:10.1002/int.20444MERIGĂ, J. M., & CASANOVAS, M. (2011). THE UNCERTAIN GENERALIZED OWA OPERATOR AND ITS APPLICATION TO FINANCIAL DECISION MAKING. International Journal of Information Technology & Decision Making, 10(02), 211-230. doi:10.1142/s0219622011004300MERIGĂ, J. M., CASANOVAS, M., & MARTĂNEZ, L. (2010). LINGUISTIC AGGREGATION OPERATORS FOR LINGUISTIC DECISION MAKING BASED ON THE DEMPSTER-SHAFER THEORY OF EVIDENCE. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 18(03), 287-304. doi:10.1142/s0218488510006544MERIGO, J., & GILLAFUENTE, A. (2009). The induced generalized OWA operator. Information Sciences, 179(6), 729-741. doi:10.1016/j.ins.2008.11.013MerigĂł, J. M., & Gil-Lafuente, A. M. (2010). New decision-making techniques and their application in the selection of financial products. 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Uncertain generalized aggregation operators. Expert Systems with Applications, 39(1), 1105-1117. doi:10.1016/j.eswa.2011.07.11
Induced aggregation operators in decision making with the Dempster-Shafer belief structure
We study the induced aggregation operators. The analysis begins with a revision of some basic concepts such as the induced ordered weighted averaging (IOWA) operator and the induced ordered weighted geometric (IOWG) operator. We then analyze the problem of decision making with Dempster-Shafer theory of evidence. We suggest the use of induced aggregation operators in decision making with Dempster-Shafer theory. We focus on the aggregation step and examine some of its main properties, including the distinction between descending and ascending orders and different families of induced operators. Finally, we present an illustrative example in which the results obtained using different types of aggregation operators can be seen.aggregation operators, dempster-shafer belief structure, uncertainty, iowa operator, decision making
A fuzzy methodology for innovation management measurement
Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach applying fuzzy techniques to small and medium manufacturing enterprises. ..
"The connection between distortion risk measures and ordered weighted averaging operators"
Distortion risk measures summarize the risk of a loss distribution by means of a single value. In fuzzy systems, the Ordered Weighted Averaging (OWA) and Weighted Ordered Weighted Averaging (WOWA) operators are used to aggregate a large number of fuzzy rules into a single value. We show that these concepts can be derived from the Choquet integral, and then the mathematical relationship between distortion risk measures and the OWA and WOWA operators for discrete and nite random variables is presented. This connection oers a new interpretation of distortion risk measures and, in particular, Value-at-Risk and Tail Value-at-Risk can be understood from an aggregation operator perspective. The theoretical results are illustrated in an example and the degree of orness concept is discussed.Fuzzy systems; Degree of orness; Risk quantification; Discrete random variable JEL classification:C02,C60
DecisiĂłn making with induced aggregation operators and the adequacy coefficient
We present a method for decision making by using induced aggregation operators. This method is very useful for business decision making problems such as product management, investment selection and strategic management. We introduce a new aggregation operator that uses the induced ordered weighted averaging (IOWA) operator and the weighted average in the adequacy coefficient. We callit the induced ordered weighted averaging weighted averaging adequacy coefficient (IOWAWAAC) operator. The main advantage is that it is able to deal with complex attitudinal characters in the aggregation process. Thus, we are able to give a better representation of the problem considering the complex environment that affects the decisions. Moreover, it is able to provide a unified framework between the OWA and the weighted average. We generalize it by using generalized aggregation operators, obtaining the induced generalized OWAWAAC (IGOWAWAAC) operator . We study some of the main properties of this approach. We end the paper with a numerical example of the new approach in a group decision making problem in strategic managemen
Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure
This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation
Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference
Dempster-Shafer evidence theory can handle imprecise and unknown information, which has attracted many people. In most cases, the mass function can be translated into the probability, which is useful to expand the applications of the D-S evidence theory. However, how to reasonably transfer the mass function to the probability distribution is still an open issue. Hence, the paper proposed a new probability transform method based on the ordered weighted averaging and entropy difference. The new method calculates weights by ordered weighted averaging, and adds entropy difference as one of the measurement indicators. Then achieved the transformation of the minimum entropy difference by adjusting the parameter r of the weight function. Finally, some numerical examples are given to prove that new method is more reasonable and effective
Entrepreneurship and Decision- Making in Latin America
El objetivo principal de este artĂculo es analizar diferentes mĂŠtodosde toma de decisiones, con enfoque en el emprendimiento en LatinoamĂŠrica.Los mĂŠtodos de toma de decisiones pueden recibir informaciĂłnpor parte de operadores de agregaciĂłn basados en el uso de probabilidades,promedios ponderados (PP) y operadores de agregaciĂłn generalizados.El artĂculo presenta un nuevo operador probabilĂstico generalizadode promedios ponderados (GPWA) que unifica los promedios ponderadosy la probabilidad en la misma formulaciĂłn, considerando el grado de importanciade cada concepto usado en el anĂĄlisis. La ventaja fundamentalde este enfoque es que incluye un amplio rango de casos particulares,incluyendo el operador probabilĂstico de promedios ponderados, el operadorprobabilĂstico de promedios geomĂŠtricos ponderados y el operadorprobabilĂstico de promedios cuadrĂĄticos ponderados. Se emplean medioscuasiaritmĂŠticos para obtener el operador cuasiprobabilĂstico de promediosponderados y para generalizar el enfoque, que luego es aplicado a unconjunto de decisiones empresariales hipotĂŠticas en cuanto a inversiĂłn enuna regiĂłn latinoamericana unificada polĂticamente
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