Introducing a large family of Opinion Changing Aversion (OCA) [5] functions we describe a novel approach to consensus reaching in group decisions in fuzzy environment, i.e. when the experts use linguistic terms (defined by fuzzy numbers) for the evaluation of the alternatives.

One approach for system identi cation among many others is the fuzzy identi cation approach. The advantage of this approach compared to other analytical approaches is, that it is not necessary to make an assumption for the model to be used for the identi cation. In addition, the fuzzy approach can handle nonlinearities easier than analytical approaches. The Fuzzy{ROSA method is a method for dat...

A crucial step in group decision making (GDM) processes is the aggregation of individual opinions with the aim of achieving a “fair” representation of each individual within the group. In multi-granular linguistic contexts where linguistic term sets with common domain but different granularity and/or semantic are used, the methodology widely applied until now requires, prior to the aggregation ...

The configuration of a surface inspection vision system as a complex task, requires mining associations among attributes due to the variability of the surface and the environment in real-time production process. The surface inspection task has to change to deal with different elements such as, wood, stainless steel or paper inspection and, in the case of stainless steel, with reflectance and th...

Assuming a group decision making problem where the experts express their opinions by means of linguistic preference relations, the application of the Linguistic OWA operator guided by fuzzy majority is analyzed. Two diierent perspectives of the use of the LOWA operator are presented: (i) in the selection process, to aggregate individual linguistic preference relations in a collective one and to...

One approach for system identification among many others is the fuzzy identification approach. The advantage of this approach compared to other analytical approaches is, that it is not necessary to make an assumption for the model to be used for the identification. In addition, the fuzzy approach can handle nonlinearities easier than analytical approaches. The Fuzzy–ROSA method is a method for ...

This paper compares two multi-criteria decision making (MCDM) approaches based on linguistic label assessment. The first approach consists of a modified fuzzy TOPSIS methodology introduced by Kaya and Kahraman in 2011. The second approach, introduced by Agell et al. in 2012, is based on qualitative reasoning techniques for ranking multi-attribute alternatives in group decision-making with lingu...

In this contribution a representation of imperfect spatial information is proposed based on linguistic qualifiers within fuzzy set theory and possibility theory. By adopting a Fuzzy Object Oriented Database approach new data types for representing geographic entities characterized by either unsharp boundaries or indeterminate boundaries and relationships are defined. Finally, the evaluation mec...

This paper presents a comprehensive overview of currently known applications of computing with words (CWW) in risk assessment. It is largely grouped into the following 5 categories: (1) fuzzy number based risk assessment; (2) fuzzy rule-based risk assessment; (3) fuzzy extension of typical probabilistic risk assessment; (4) ordinal linguistic approach for risk assessment; and (5) miscellaneous ...

This research aims at proposing a new method for discovering frequent temporal itemsets in continuous subsets of a dataset with quantitative transactions. It is important to note that although these temporal itemsets may have relatively high textit{support} or occurrence within particular time intervals, they do not necessarily get similar textit{support} across the whole dataset, which makes i...