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An emotion communication system based on linearly ordered fuzzy preferences is proposed, whose objective is to determine the appropriate actions on the environment in order to enhance user comfort. Once a subset of elementary preferences is obtained via basic human-machine interactions, the rest of preference relations are determined in such a way that the consistency of the system is guaranteed. For this purpose, the Łukasiewicz t-conorm is applied as a rule for aggregation.

In this paper we focus our attention on exploring the aggregation of partial T-indistinguishability operators (relations). Concretely we characterize, by means of (T-\(T_{\min }\))-tuples, those functions that allow to merge a collection of partial T-indistinguishability operators into a single one. Moreover, we show that monotony is a necessary condition to ensure that a function aggregates partial T-indistinguishability operators into a new one. We also provide that an inter-exchange composition function condition is a sufficient condition to guarantee that a function aggregates partial T-indistinguishability operators. Finally, examples of this type of functions are also given.

Recently knowledge has been obtained about the Cooperative meta-dynamics in performance teams, and also on the fit between the manager’s and team member’s beliefs about teamwork and performance. To obtain this, a specific instrument has been created and validated, the Questionnaire on Cooperation in Performance Teams (CWQ). The need for such this kind of tool is double fold: first, to combine the most relevant conceptual theories in a short and friendly usable instrument, and to obtain easily applicable knowledge addressed to managers and coaches working with performance teams. In order to accomplish fully with this aim, a confirmatory analysis of the new instrument is required too. Consequently, the CWQ was administered to 218 players of performance sports teams (Mean age = 21.12; SD = 6.72; mean years of experience = 11.42; SD = 6.33). The data analysis consisted on the study of the main components (forcing and without forcing the number of factors), with a Varimax rotation. The results confirm the validation of the CWQ both for the “A” and “B” versions of the questionnaire and the existence of four meta-factors: 1. Global cooperation with the team; 2. Cooperation for personal growth in the team; 3. Emotional cooperation, and 4. Conditional cooperation. The four factors shown factorial weights similar to those obtained in the previous exploratory study. These data confirms its transcultural and transituational invariance of the CWQ, as along with its conceptual validity and the solid theoretical conception of the abovementioned factors, and also its applicability in various performance environments. In addition, a mathematical analysis has been introduced to evaluate the symmetry between cooperative work beliefs from both coach and player views, embedded in the conceptual framework of the Cognitive Dissonance Theory.

This paper addresses one of the main problems to solve in a multi-robot system, allocating tasks to a set of robots (multi-robot task allocation-MRTA). Among all the approaches proposed in the literature to face up MRTA problem, this paper is focused on swarm-like methods called response threshold algorithms. The task allocation algorithms inspired on response threshold are based on probabilistic Markov chains. In the MRTA problem literature, possibilistic Markov chains have proved to outperform the probabilistic Markov chains when a Max-Min algebra is considered for matrix composition. In this paper we analyze the system behavior when a more general algebra than the Max-Min one is taken for matrix composition. Concretely, we consider the algebra \(([0,1], S_{M},T)\), where \(S_{M}\) denotes the maximum t-conorm and T stands for any t-norm. The performed experiments show how only some well-known t-norms are suitable to allocate tasks and how the possibility transition function parameters are related to the used t-norm.

In this study, we try to discover the natural psychological dynamics in a cooperative work team. We have selected a group of individuals that can help us to explore the psychological processes when working in a team. A new tool is used which has been developed from the most relevant conceptual frameworks existing at the moment, the Cooperative Workteams Questionnaire, (CWQ). In this paper, we present the psychometric characteristics and impact encountered by the conceptual framework. We also present an analysis of the results obtained from applying this framework.

In 1981, J. Borsik and J. Dobos studied the problem of how to merge, by means of a function, a family of distances into a single one. To this end, they introduced the notion of distance aggregation function and gave a characterization of such functions. Later on, in 2010, the notion of distance aggregation function was extended to the framework of asymmetric distances by G. Mayor and O. Valero. Thus, asymmetric distance aggregation functions were introduced and a characterization of this new type of functions was also given. Concretely, the aforesaid characterization states that the functions which allow to merge a family of asymmetric distances into a single one are exactly those that are amenable, monotone and subadditive. In the present chapter we consider the problem of aggregating a family of bounded asymmetric distances. To this end, the notion of bounded asymmetric distance aggregation function is introduced and a full description of such functions is provided. The obtained results are illustrated by means of examples. Furthermore, the relationship between asymmetric aggregation functions and the bounded ones is discussed.

In this work, a new lattice L determined by the class of weighting triangles as a base of L-fuzzy subsets is proposed. Furthermore, extended orders and operators which are obtained by means of fuzzy binary relations \(F_{\triangle }\) associated to a weighting triangle are included. Moreover, some new expressions have been defined for Extended Ordered Weighted Averaging operators, and Extended Aggregation functions.

The purpose of this study was to discover the relationships among 18 psychological features in a cooperative team in order to analyse work team performance. A Bayesian network (BN) has been built from a dataset of 403 soccer semi-professional players, taking into account prototypical sportive teams with respect to other workteams, regarding its psychological features, such as leadership, cohesion or group roles. The BN shows three conditionally independent features according to the local Markov property: two cohesion dimensions and the cooperative style of management/coaching; and features such as players satisfaction, experience, social integration in the team, and the workplace specificity, i.e., the players’ positions, which were located at the bottom in the BN show a clear dependence. The BN was used to make inferences achieving: (1) The social side of the cohesion has a low likelihood influence on the performance; (2) All psychological leadership styles (positive and/or negative) have some influence on the performance, the years remaining in the same team, and the player’s position; (3) The positive leadership style is not a required condition for the performance or for the player’s satisfaction, but a consequence of the other psychological variables.