Analysis of OWA operators in decision making for modelling the majority concept

Peláez, José Ignacio; Doña, Jesús M.; Gómez-Ruiz, José Antonio

doi:10.1016/j.amc.2006.07.161

Cited by 37 publications

(26 citation statements)

References 18 publications

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“…It has been applied in neural networks, 35,36 data base systems, 36 and fuzzy logic controllers 37,38 . Besides, it has proved to be the one of the most prominent aggregation operators in decision making, 39,40 group decision making, 1,41 and MCDM approaches under uncertainty 16,42,43 .…”

Section: Owamentioning

confidence: 99%

A New Family of Induced OWA Operators

Aggarwal

2014

Int. J. Intell. Syst.

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A new family of induced ordered weighted averaging (OWA) operators is proposed by invoking the order-inducing variables at the aggregation step. The objective is to consider the variations in the magnitudes of the order-inducing variables. The new family of operators include weighted induced OWA, weighted generalized induced OWA, and weighted induced ordered weighted geometric operators. These are further extended to the intuitionistic fuzzy domain. The usefulness of these operators is shown in a supplier selection problem. C 2014 Wiley Periodicals, Inc.

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Section: Owamentioning

confidence: 99%

A New Family of Induced OWA Operators

Aggarwal

2014

Int. J. Intell. Syst.

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“…In order to add the information in the evaluation process the OWA operator LAMA will be used, because this operator is adapted for computing with words and is able to synthesize linguistic information in decision making environments producing results with a semantics of majority [11,12,13].…”

Section: B the Linguistic Aggregation Operatormentioning

confidence: 99%

Definition of a Consensual Drug Selection Process in Hospital Universitario Virgen de la Victoria

Doña

Moya²,

López³

2009

2009 Ninth International Conference on Intelligent Systems Design and Applications

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The adequate and rational drugs selection is considered one of the main objectives in Hospital scenarios. The drugs evaluation for their inclusion in the Hospital Pharmacy requires considering multiple evaluation aspects and criteria where different people are involved with different roles, valuations and preferences with the aim of analyzing a great number of factors and characteristics from a huge number of resources with imprecise assessments. This paper presents a consensus decision model combining quantitative information with fuzzy multigranular linguistic information to support the selection of drugs for their inclusion in the Hospital Universitario Virgen de la Victoria from Málaga.

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“…In essence, IOWA α most produces a larger pull towards the values that support each other, driving the results in the direction of what the majority reflects. In terms of further work, we believe there are some avenues that could be pursued in the short-term: (a) Investigate other OWA operators that could potentially produce a better aggregation representing the semantic majority opinion and (b) Utilise the OWA measure of dispersion, which calculates the degree to which all aggregates are used in the resulting final aggregation [8].…”

Section: Conclusion and Further Workmentioning

confidence: 99%

A Consensus Approach to Sentiment Analysis

Appel

Chiclana

Carter

et al. 2017

Advances in Artificial Intelligence: From Theory to Practice

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Abstract. There are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnosing of an illness or parliament members looking for consensus on a specific law being passed. In this article we present a method that utilises Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion from a number of Sentiment Analysis (SA) classification systems, where the latter occupy the role usually taken by human decision-makers. Previously determined sentence intensity polarity by different SA classification methods are used as input to a specific IOWA operator. During the experimental phase, the use of the IOWA operator coupled with the linguistic quantifier 'most' (IOWAmost) proved to yield superior results compared to those achieved when utilising other techniques commonly applied when some sort of averaging is needed, such as arithmetic mean or median techniques.

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Analysis of OWA operators in decision making for modelling the majority concept

Cited by 37 publications

References 18 publications

A New Family of Induced OWA Operators

A New Family of Induced OWA Operators

Definition of a Consensual Drug Selection Process in Hospital Universitario Virgen de la Victoria

A Consensus Approach to Sentiment Analysis

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