نتایج جستجو برای: ordered weighted averaging owa operator

تعداد نتایج: 260568  

  Borda count is a well-known social choice method, and is frequently used for group decision making problems. However it does not consider the optimism/pessimism view of the director, which has a great effect on the group decisions. Therefore in the present study, we extend the Borda method by using the Ordered Weighted Averaging (OWA) operator to consider the risk attitudinal characteristics....

2012
José M. Merigó Montserrat Casanovas Kurt J. Engemann K. J. ENGEMANN

The aim of this paper is to introduce a unified model between the generalized ordered weighted averaging (GOWA) operator and the generalized probabilistic aggregation. We present the generalized probabilistic OWA (GPOWA) operator. It is a new aggregation operator that unifies the probability with the OWA operator considering the degree of importance that each concept has in the analysis. It inc...

2012
Jaume Belles-Sampera José M. Merigó Montserrat Guillén Miguel Santolino

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 ...

2007
Amit Dhurandhar Paul Gader

In this paper we show how the distribution of the discrete Choquet integral can be analytically computed. The advantage of having an analytical expression is that the value of the cumulative distribution function (cdf) can be computed exactly for the Choquet. We also derive an expression for the density of the Ordered Weighted Average (OWA) operator, which is a special case of the Choquet.

Journal: :Appl. Soft Comput. 2017
José M. Merigó Daniel Palacios Marqués Pedro Soto-Acosta

The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of operators between the minimum and the maximum. This paper presents the OWA weighted average distance operator. The main advantage of this new approach is that it unifies the weighted Hamming distance and the OWA distance in the same formulation and considering the degree of importance that each...

Journal: :IEEE Trans. Fuzzy Systems 1995
János C. Fodor Jean-Luc Marichal Marc Roubens

This paper deals with the characterization of two classes of monotonic and neutral (MN) aggregation operators . The first class corresponds to (MN) aggregators which are stable for the same positive linear transformations and present the ordered linkage property. The second class deals with (MN)-idempotent aggregators which are stable for positive linear transformations with same unit, independ...

2013
Shouzhen Zeng José M. Merigó Weihua Su

In this paper, we present the uncertain probabilistic ordered weighted averaging distance (UPOWAD) operator. Its main advantage is that it uses distance measures in a unified framework between the probability and the OWA operator that considers the degree of importance of each concept in the aggregation. Moreover, it is able to deal with uncertain environments represented in the form of interva...

2008
Bonifacio Llamazares José Luis García-Lapresta

In the classical theory of social choice, there exist many voting procedures for determining a collective preference on a set of alternatives. The simplest situation happens when a group of individuals has to choose between two alternatives. In this context, some voting procedures such as simple and absolute special majorities are frequently used. However, these voting procedures do not take in...

2011

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Journal: :Expert Syst. Appl. 2011
José M. Merigó Anna Maria Gil Lafuente

We analyze the use of the ordered weighted averaging (OWA) operator in the selection of human resources in sport management. We use different business decision-making techniques for doing so. We consider the use of the Hamming distance, the adequacy coefficient and the index of maximum and minimum level. That is, we use the OWA distance (OWAD), the OWA adequacy coefficient (OWAAC) and the OWA i...

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