Consensus image method for unknown noise removal

Jaime, Luis González; Kerre, Etienne; Nachtegael, Mike; Bustince, Humberto

doi:10.1016/j.knosys.2013.10.023

Cited by 14 publications

(3 citation statements)

References 29 publications

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“…This concept has been examined both theoretically [38][39][40] and from an implicational perspective. This method has also been utilized in linguistic decision-making assessments [41], eliminating noise in computer vision [42], offering a breakdown of all rank-dependent poverty measures in terms of inequality, intensity, and incidence [43], and enabling experts to express multiple levels of self-confidence when stating their inclinations [44]. The introduction of OWG operator by Chiclana [45] incorporates the notion of fuzzy majority in decision-making procedures with ratio-scale evaluations, comparable to the OWA operator [46].…”

Section: Introductionmentioning

confidence: 99%

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings

Alghazzawi,

Noor,

Alolaiyan

et al. 2024

PLoS ONE

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Road traffic accidents (RTAs) pose a significant hazard to the security of the general public, especially in developing nations. A daily average of more than three thousand fatalities is recorded worldwide, rating it as the second most prevalent cause of death among people aged 5–29. Precise and reliable decisionmaking techniques are essential for identifying the most effective approach to mitigate road traffic incidents. This research endeavors to investigate this specific concern. The Fermatean fuzzy set (FFS) is a strong and efficient method for addressing ambiguity, particularly when the concept of Pythagorean fuzzy set fails to provide a solution. This research presents two innovative aggregation operators: the Fermatean fuzzy ordered weighted averaging (FFOWA) operator and the Fermatean fuzzy dynamic ordered weighted geometric (FFOWG) operator. The salient characteristics of these operators are discussed and important exceptional scenarios are thoroughly delineated. Furthermore, by implementing the suggested operators, we develop a systematic approach to handle multiple attribute decisionmaking (MADM) scenarios that involve Fermatean fuzzy (FF) data. In order to show the viability of the developed method, we provide a numerical illustration encompassing the determination of the most effective approach to alleviate road traffic accidents. Lastly, we conduct a comparative evaluation of the proposed approach in relation to a number of established methodologies.

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Section: Introductionmentioning

confidence: 99%

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings

Alghazzawi,

Noor,

Alolaiyan

et al. 2024

PLoS ONE

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“…Besides these main areas, there are some other methodologies that proposed different definitions of the consensus concept. It is worth mentioning the work of González Jaime et al [38] and López Molina, De Baets and Bustince [47].…”

Section: Introductionmentioning

confidence: 93%

A new consensus ranking approach for correlated ordinal information based on Mahalanobis distance

González-Arteaga

Alcantud

Calle

2016

Information Sciences

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We investigate from a global point of view the existence of cohesiveness among experts' opinions. We address this general issue from three basic essentials: the management of experts' opinions when they are expressed by ordinal information; the measurement of the degree of dissensus among such opinions; and the achievement of a group solution that conveys the minimum dissensus to the experts' group. Accordingly, we propose and characterize a new procedure to codify ordinal information. We also define a new measurement of the degree of dissensus among individual preferences based on the Mahalanobis distance. It is especially designed for the case of possibly correlated alternatives. Finally, we investigate a procedure to obtain a social consensus solution that also includes the possibility of alternatives that are correlated. In addition, we examine the main traits of the dissensus measurement as well as the social solution proposed. The operational character and intuitive interpretation of our approaches are illustrated by an explanatory example.

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“…On the other hand, within the Decision Making Theory framework, modelling group decision making problems in order to reach a higher level of cohesiveness has been managed successfully [15,32,34,38,39,65]. Outside of these main areas, it is possible to find other methodologies that use the idea of consensus in different ways to the aforementioned ones, with [41,46] being representative examples of these methodologies.…”

Section: Introductionmentioning

confidence: 99%

A new measure of consensus with reciprocal preference relations: The correlation consensus degree

González-Arteaga

Calle

Chiclana

2016

Knowledge-Based Systems

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The achievement of a 'consensual' solution in a group decision making problem depends on experts' ideas, principles, knowledge, experience, etc. The measurement of consensus has been widely studied from the point of view of different research areas, and consequently different consensus measures have been formulated, although a common characteristic of most of them is that they are driven by the implementation of either distance or similarity functions. In the present work though, and within the framework of experts' opinions modelled via reciprocal preference relations, a different approach to the measurement of consensus based on the Pearson correlation coefficient is studied. The new correlation consensus degree measures the concordance between the intensities of preference for pairs of alternatives as expressed by the experts. Although a detailed study of the formal properties of the new correlation consensus degree shows that it verifies important properties that are common either to distance or to similarity functions between intensities of preferences, it is also proved that it is different to traditional consensus measures. In order to emphasise novelty, two applications of the proposed methodology are also included. The first one is used to illustrate the computation process and discussion of the results, while the second one covers a real life application that makes use of data from Clinical Decision-Making.

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Consensus image method for unknown noise removal

Cited by 14 publications

References 29 publications

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings

A new consensus ranking approach for correlated ordinal information based on Mahalanobis distance

A new measure of consensus with reciprocal preference relations: The correlation consensus degree

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