نتایج جستجو برای: choquet integral based dominance degree

تعداد نتایج: 3264004  

Journal: :Fuzzy Sets and Systems 2011
Brice Mayag Michel Grabisch Christophe Labreuche

In the context of Multiple criteria decision analysis, we present the necessary and sufficient conditions to represent a cardinal preferential information by the Choquet integral w.r.t. a 2-additive capacity. These conditions are based on some complex cycles called cyclones.

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2009

Journal: :J. Applied Mathematics 2012
Lee-Chae Jang

The concept of an interval-valued capacity is motivated by the goal to generalize a capacity, and it can be used for representing an uncertain capacity. In this paper, we define the discrete intervalvalued capacities, a measure of the entropy of a discrete interval-valued capacity, and, Choquet integral with respect to a discrete interval-valued capacity. In particular, we discuss the Choquet i...

2001
Arunas Lipnickas

In this paper we studied two different classifiers fusion algorithms exploiting the combination weights expressed over the entire data space and the combination with data dependent weights. The following aggregation schemes are employed in the study: the majority vote, the averaging, the combination via Choquet integral with the − λ fuzzy measure, the combination via space partitioning and clas...

Journal: :IEEE Transactions on Fuzzy Systems 2023

Choquet integral is a widely used aggregation operator on 1-D and interval-valued information, since it able to take into account the possible interaction among data. However, there are many cases where information taken vectorial, such as long short-term memories (LSTM). LSTM units kind of recurrent neural networks that have become one most powerful tools deal with sequential they power contro...

2013
Julien Ah-Pine Brice Mayag Antoine Rolland

In some multi-criteria decision making problems, it is more convenient to express the decision maker preferences in bipolar scales. In such cases, the bipolar Choquet integral with respect to bi-capacities was introduced. In this paper, we address the problem of eliciting a bipolar Choquet integral with respect to a 2-additive bi-capacity. We assume that we are given a set of examples with (i) ...

Journal: :Symmetry 2021

Feature-based pedestrian detection method is currently the mainstream direction to solve problem of detection. In this kind method, whether appropriate feature can be extracted key comprehensive performance whole system. It believed that appearance a better captured by combination edge/local shape and texture feature. field, current simply concatenate HOG (histogram oriented gradient) features ...

2000
Shaun S. Wang

In this paper, we take an axiomatic approach to characterize insurance prices in a competitive market setting. We present four axioms to describe the behavior of market insurance prices. From these axioms it follows that the price of an insurance risk has a Choquet integral representation with respect to a distorted probability (Yaari, 1987). We propose an additional axiom for reducing compound...

2009
Brice Mayag Michel Grabisch Christophe Labreuche

In the context of Multiple criteria decision analysis, we present the necessary and sufficient conditions allowing to represent an ordinal preferential information provided by the decision maker by a Choquet integral w.r.t a 2-additive capacity. We provide also a characterization of this type of preferential information by a belief function which can be viewed as a capacity. These characterizat...

2015
Christophe LABREUCHE Michel GRABISCH Christophe Labreuche Michel Grabisch

Two utility models are classically used to represent interaction among criteria: the Choquet integral and the Generalized Additive Independence (GAI) model. We propose a comparison of these models. Looking at their mathematical expression, it seems that the second one is much more general than the first one. The GAI model has been mostly studied in the case where attributes are discrete. We pro...

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