Artificial Intelligence Review

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Failure mode and effect analysis approach considering risk attitude of dynamic reference point cumulative prospect theory in uncertainty contexts
Artificial Intelligence Review - Tập 56 - Trang 14557-14604 - 2023
Ying Li, Peide Liu, Xiaoming Wu
Failure mode and effect analysis (FMEA) method is widely utilized as a powerful reliability management tool to effectively evaluate and prevent risk problems that occur in all aspects of production, service and transportation. Since FMEA experts have different professional backgrounds and the particularity of the risk assessment environment, they may show different risk attitudes and bounded ratio...... hiện toàn bộ
Research on task decomposition and state abstraction in reinforcement learning
Artificial Intelligence Review - Tập 38 - Trang 119-127 - 2011
Yu Lasheng, Jiang Zhongbin, Liu Kang
Task decomposition and State abstraction are crucial parts in reinforcement learning. It allows an agent to ignore aspects of its current states that are irrelevant to its current decision, and therefore speeds up dynamic programming and learning. This paper presents the SVI algorithm that uses a dynamic Bayesian network model to construct an influence graph that indicates relationships between st...... hiện toàn bộ
The Simplicity and Power model for inductive inference
Artificial Intelligence Review - - 2006
Emmanuel M. Pothos, J. Gerard Wolff
Financial credit risk assessment: a recent review
Artificial Intelligence Review - Tập 45 - Trang 1-23 - 2015
Ning Chen, Bernardete Ribeiro, An Chen
The assessment of financial credit risk is an important and challenging research topic in the area of accounting and finance. Numerous efforts have been devoted into this field since the first attempt last century. Today the study of financial credit risk assessment attracts increasing attentions in the face of one of the most severe financial crisis ever observed in the world. The accurate assess...... hiện toàn bộ
An improved generalized normal distribution optimization and its applications in numerical problems and engineering design problems
Artificial Intelligence Review - Tập 56 - Trang 685-747 - 2022
Yiying Zhang
Generalized normal distribution optimization (GNDO) inspired by the theory of normal distribution is a recently developed metaheuristic method for global optimization problems. This work presents a novel variant of GNDO, which is called elite-driven generalized normal distribution optimization (EDGNDO). EDGNDO enhances the global search ability of GNDO by the designed search mechanism consisting o...... hiện toàn bộ
Ensemble-based classifiers
Artificial Intelligence Review - Tập 33 - Trang 1-39 - 2009
Lior Rokach
The idea of ensemble methodology is to build a predictive model by integrating multiple models. It is well-known that ensemble methods can be used for improving prediction performance. Researchers from various disciplines such as statistics and AI considered the use of ensemble methodology. This paper, review existing ensemble techniques and can be served as a tutorial for practitioners who are in...... hiện toàn bộ
Editorial: Engineering autonomic systems
Artificial Intelligence Review - - 2006
Roy Sterritt, Mike Hinchey
Word sense disambiguation as a traveling salesman problem
Artificial Intelligence Review - Tập 40 - Trang 405-427 - 2011
Kiem-Hieu Nguyen, Cheol-Young Ock
Word sense disambiguation (WSD) is a difficult problem in Computational Linguistics, mostly because of the use of a fixed sense inventory and the deep level of granularity. This paper formulates WSD as a variant of the traveling salesman problem (TSP) to maximize the overall semantic relatedness of the context to be disambiguated. Ant colony optimization, a robust nature-inspired algorithm, was us...... hiện toàn bộ
An application of tournament differential evolution algorithm in production inventory model with green level and expiry time dependent demand
Artificial Intelligence Review - Tập 56 Số 5 - Trang 4137-4170 - 2023
Md Akhtar, Avijit Duary, Amalesh Kumar Manna, Ali Akbar Shaikh, Asoke Kumar Bhunia
Autonomic system design based on the integrated use of SSM and VSM
Artificial Intelligence Review - Tập 25 - Trang 313-327 - 2007
D. W. Bustard, R. Sterritt, A. Taleb-Bendiab, A. Laws
This paper describes an approach to autonomic systems development that involves the integrated use of two general systems design techniques: Soft Systems Methodology (SSM) and the Viable System Model (VSM). The paper summarizes the relevant aspects of each technique and describes how they can be used together to create design models of an autonomic system and its environment. The discussion is ill...... hiện toàn bộ
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