Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 19th International C Davide Ciucci,Inés Couso,Ronald R. Ya

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A New Approach to Polarization Modeling Using Markov Chainsng approach to knowing what the probability for a specific attitudinal distribution is to get to an i.e. social, political, or affective Polarization. It also quantifies how many steps are needed to reach Polarization for that distribution. In this way, we can know how risky an attitudinal distribut

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Intervals and Possibility Degree Formulae for Usage Prioritization of Cartagena Coastal Military Baty can be turned into touristic, scientific, or cultural sites. In previous work, a combination of AHP and TOPSIS (A+T, hereafter) was applied to prioritize such batteries. In this paper, we address the following question: . In this regard, we are focused on an approach that relies on assigning score

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On the Notion of Influence in Sensory Analysisenient consensus. The influence an agent may have upon the other ones may change the collective decision. Modelling of influence in a social network assumes that each player has an initial inclination for one of the alternative that may be different from his final decision. The point of departure of

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Study of the Instability of the Sign of the Nonadditivity Index in a Choquet Integral Modelproperty of capacities defined on the sets of decision criteria and allows one to flexibly represent the phenomenon of interaction between criteria. In some cases, we show that the sign of the nonadditivity index proposed in the literature depends on arbitrary choice of a numerical representation in

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The ,-Interaction Index in MCDAhe interactions among criteria. This index, which provides robust interpretations of the interactions, is directly related to the independence property required when an additive model is used as an aggregation function.

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Information Processing and Management of Uncertainty in Knowledge-Based Systems19th International C

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BEUD: Bifold-Encoder Uni-Decoder Based Network for Anomaly Detectionarning the features of the data better. Since the model architecture is designed to have two encoders and one decoder network, we name our model as Bifold-Encoder Uni-Decoder (BEUD) network. In this paper, we discuss two different ways of using the BEUD model to predict the anomalies in the data. BE

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Intuitionistic Fuzzy Selected Element Reduction Approach (IF-SERA) on Service Quality Evaluation of is assigned the most weight. The approach yields results that are directly proportional to the criterion weights. With the implementation of the service quality evaluation for digital suppliers, the novel fuzzy weighting approach is introduced to the literature.