In this paper we have analyzed the accomplishment of several consistency conditions in a real decision case. A group of students showed their intensities of preference among the alternatives by means of linguistic labels represented by real numbers. The absolute and relative fulfillments of some kinds of fuzzy transitivity properties have been studied for individual and collective preferences. ...

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Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they have not been thoroughly evaluated for their commonalities and differences. We introduce novel generalizations of three existing algorithms that allow such algorithmic and empirical comparisons. Our generalizations pe...

In studies of genetic algorithms, evolutionary computing, and ant colony mechanisms, it is recognized that the higher-order forms of collective intelligence play an important role in metaheuristic computing and computational intelligence. Collective intelligence is an integration of collective behaviors of individuals in social groups or collective functions of components in computational intel...

Collective intelligence (or CI) has recently emerged as a potential magnifier of design thinking. A surge of internet based social computing applications are achieving surprising results from people thinking collectively, without the aid or restrictions of formal organisation, supervision, or even payment in the conventional sense. Some of the best known applications, such as Threadless and Top...

In this paper we present the research results in the field of perception for real microrobotic swarm. The proposed hardware and software solution uses IR-based reflective measurement for individual perception and the Dampster-Shafer evidential reasoning for hypothesis refinement in collective perception. Especial attention is paid to a reliable identification of encountered geometries and a red...

In this paper, we study the problem of automatically annotating the factoids present in collective discourse. Factoids are information units that are shared between instances of collective discourse and may have many different ways of being realized in words. Our approach divides this problem into two steps, using a graph-based approach for each step: (1) factoid discovery, finding groups of wo...