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Rough set decision algorithms for modeling with uncertainty

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2024年 437卷

作者： Chacon-Gomez, Fernando Cornejo, M. Eugenia Medina, Jesus Ramirez-Poussa, Eloisa Univ Cadiz Dept Math Cadiz Spain

The use of decision rules allows to extract information and to infer conclusions from relational databases in a reliable way, thanks to some indicators like support and certainty. Moreover, decision algorithms collect a group of decision rules that satisfies desirable properties to describe the relational system. However, when a decision table is considered within a fuzzy environment, it is necessary to extend all notions related to decision algorithms to this framework. This paper presents a generalization of these notions, highlighting the new definitions of indicators of relevance to describe decision rules and decision algorithms.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Rough set theory Fuzzy rough set theory decision rules decision algorithms

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More decision algorithms for Global Properties of 1D Cellular Automata

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JOURNAL OF CELLULAR AUTOMATA 2018年第1-2期13卷 1-14页

作者： Autran, Sebastien Formenti, Enrico Univ Cote Azur CNRS 13S Nice France

This paper proposes some new decision algorithms for basic properties of one-dimensional cellular automata (CA). In particular, it provides an algorithm for deciding surjectivity on finite configurations. Moreover, by using the classical decision algorithm for surjectivity and injectivity of Sutner, we provide a simple decision algorithm for openess (although its complexity is unchanged). Finally, a complete implication diagram between global properties of one-dimensional CA is provided. When possible the corresponding algorithms for one-sided CA are also given.

关键词： decision algorithms computational complexity openess closingness surjectivity finite configurations

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Research on Autonomous Driving Simulator Control and decision algorithms based on Computer Vision Methods

Research on Autonomous Driving Simulator Control and Decisio...

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作者： Bolin Zhou Jihu Zheng Pei Yin Chen Chen Yang Zhai Automotive Data Center China Automotive Technology and Research Center Co.Ltd School of Automobile Chang'an University

Researches on perception and control technologies are the most crucial area in autonomous driving systems and is the core to achieve fully autonomous ***,especially hardware-in-loop and algorithms-in-loop could accelerate the testing *** this article,based on the second World Intelligent Driving Challenge took place in Tianjin,held by CATARC in May 2018,with the combination of computer vision,edge detection,objection detection,Kalman filter and vehicle dynamics methods,constructed in the Automotive Artificial Intelligence Simulator environment,aiming at paving the road to the better research on simulation testing and autonomous driving.

关键词： Autonomous Driving Computer Vision Methods decision algorithms

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decision Times of Infinite Computations

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NOTRE DAME JOURNAL OF FORMAL LOGIC 2022年第2期63卷 197-212页

作者： Carl, Merlin Schlicht, Philipp Welch, Philip Europa Univ Flensburg Inst Math Nat Wissensch & Tech Bildung Abt Math & Ihre Didakt Flensburg Germany Univ Bristol Sch Math Bristol Avon England Univ Vienna Inst Math Vienna Austria

The decision time of an infinite time algorithm is the supremum of its halting times over all real inputs. The decision time of a set of reals is the least decision time of an algorithm that decides the set;semidecision times of semidecidable sets are defined similarly. It is not hard to see that omega(1) is the maximal decision time of sets of reals. Our main results determine the supremum of countable decision times as sigma and that of countable semidecision times as tau, where sigma and tau denote the suprema of Sigma(1) - and Sigma(2)-definable ordinals, respectively, over L-omega(1). We further compute analogous suprema for singletons.

关键词： infinite time Turing machines decision algorithms halting times stable ordinals

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Adaptive treatment strategies for chronic conditions: shared-parameter G-estimation with an application to rheumatoid arthritis

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BIOSTATISTICS 2022年第2期23卷 430-448页

作者： Wang, Shouao Moodie, Erica Em Stephens, David A. Nijjar, Jagtar S. McGill Univ Dept Epidemiol Biostat & Occupat Hlth Montreal PQ H3A 1A2 Canada McGill Univ Dept Math & Stat Montreal PQ H3A 0B9 Canada GlaxoSmithKline Discovery Med Stevenage SG1 2NY Herts England

Most estimation algorithms for adaptive treatment strategies assume that treatment rules at each decision point are independent from one another in the sense that they do not possess any common parameters. This is often unrealistic, as the same decisions may be made repeatedly over time. Sharing treatment-decision parameters across decision points offers several advantages, including estimation of fewer parameters and the clinical ease of a single, time-invariant decision to implement. We propose a new computational approach to estimation of shared-parameter G-estimation, which is efficient and shares the double robustness of the "unshared" sequential G-estimation. We use this approach to analyze data from the Scottish Early Rheumatoid Arthritis (SERA) Inception Cohort.

关键词： decision algorithms Double robustness Dynamic treatment regimens Precision medicine

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Towards Optimal Freight Selection Strategies in Transport Planning 27

Towards Optimal Freight Selection Strategies in Transport Pl...

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Aszyk, Adam Bednarczyk, Marek Marcinkowski, Bartosz Pisarski, Pawel Puzniakowski, Tadeusz Adar al. Grunwaldzka 103a Gdansk80-244 Poland Polish-Japanese Academy of Information Technology Targ Drzewny 9/11 Gdansk80-894 Poland

The problem of inland freight planning from the perspective of a medium size transport company operating in the EU market is studied. The authors embark on a path to put Information Technologies to work in order to reduce manual overhead and facilitate decision-making within this domain by algorithmically approximating the potential profitability of freight offers based on multiple criteria and shortlisting the most promising offers. Following the Design Science Research approach, the Proof of Concept of IT-enabled decision support solution for logistics companies is delivered and validated. Several strategies for choosing an offer among many for a truck with a given spatio-temporal location are investigated and compared. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： decision algorithms Design Science Research Freight Allocation Strategies Transport Planning

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decision Support System to Optimize Cloud Service Prioritization for Model Deployment 4

Decision Support System to Optimize Cloud Service Prioritiza...

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4th International Conference on Information and Computer Technologies (ICICT)

作者： Khan, Muhammad Zubair Lee, Yugyung Khattak, Muazzam Ali Khan Univ Missouri Sch Comp & Engn Kansas City MO 64110 USA Quaid I Azam Univ Dept Comp Sci Islamabad Pakistan

ISBN: (纸本)9781665413992

The bio-inspired concept of deep learning has brought a revolution in artificial intelligence. It has challenged several areas including computer vision, signal processing, healthcare, transportation, security, robotics and machine translation. The core idea is to make learning algorithms efficient and convenient to use for solving daily life problems. This technology is still naive and facing multiple challenges like massive data availability, computation and infrastructural cost, resource dependency, efficient resource utilization, model production and platform procurement. Also it is found that most of the structured and unstructured data comes in the form of images, captured through different types of sensors. These images if utilized efficiently, can serve as an effective tool to solve numerous problems. To target above, a resource independent deep learning framework is proposed in this article. This work is an effort towards deploying deep neural network off-premises for medical image analysis to eliminate on-premises resource dependency and making efficient use of pay-as-per-demand paradigm offered by cloud services. This approach not only reduces the overall infrastructural cost but also enables a diverse range of need-based computational resource selection. The proposed work has shown promising results and considered as an effort to promote cloud-based resource independent machine intelligence.

关键词： decision algorithms cloud computing prioritization multi-criteria decision making model deployment

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A New Model for Artificial Intuition 31st

A New Model for Artificial Intuition

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31st International Conference on Artificial Neural Networks (ICANN)

作者： Trovati, Marcello Johnny, Olayinka Xu, Xiaolong Polatidis, Nikolaos Edge Hill Univ Dept Comp Sci Ormskirk England Nanjing Univ Posts & Telecommunicat Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing 210023 Peoples R China Univ Brighton Sch Architecture Technol & Engn Brighton England

ISBN: (纸本)9783031159190;9783031159183

The ability to inform and facilitate data-driven decisions is at the core of Data Science, AI, and general Machine Learning techniques. To achieve this, all possible scenarios must be considered, and their outcomes must be assessed logically and systematically to obtain accurate and applicable methods for knowledge discovery. There is compelling evidence from the cognitive sciences that intuition plays an important role in intelligence extraction and the associated decision-making process. As a consequence, the embedding of Artificial Intuition within AI would provide novel ways to identify and process information.

关键词： Artificial intuition Artificial intelligence Network theory decision algorithms

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Conceptual arrangement and basic design of drinking water reverse osmosis desalination plants

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INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 2021年第12期18卷 4019-4036页

作者： Khodabandehloo, M. Farhadi, F. Sharif Univ Technol Chem & Petr Engn Dept Tehran Iran

To propose a conceptual arrangement of reverse osmosis desalination plants, four comprehensive decision algorithms and a software are developed. Typically, commercial software predict the performance of the reverse osmosis membranes based on their pre-determined configuration;however, the developed decision algorithms and the developed software in this study have the capability of introducing the conceptual arrangement of pretreatment units, reverse osmosis membranes, and energy recovery devices for both seawater and brackish water reverse osmosis plants. To perform a comprehensive study, alongside the developed software and the decision algorithms, both design considerations of the required equipment in pretreatment units and mathematical modeling of reverse osmosis membranes are included. Finally, to validate the accuracy of the developed decision algorithms and the software, four installed reverse osmosis desalination plants for producing drinking water from seawater and brackish water feeds are investigated. The algorithmic proposed plants for all four cases were in close agreement with the implemented industrial cases and World Health Organization standards.

关键词： Reverse osmosis desalination Drinking water decision algorithms Design considerations Conceptual arrangement

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Generalizations of Code Languages with Marginal Errors

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INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE 2021年第5期32卷 509-529页

作者： Ko, Sang-Ki Han, Yo-Sub Salomaa, Kai Kangwon Natl Univ Dept Comp Sci & Engn Gangwon 24341 South Korea Yonsei Univ Dept Comp Sci Seoul 03722 South Korea Queens Univ Sch Comp Kingston ON K7L 3N6 Canada

The k-prefix-free, k-suffix-free and k-infix-free languages generalize the prefix-free, suffix-free and infix-free languages by allowing marginal errors. For example, a string x in a k-prefix-free language L can be a prefix of up to k different strings in L. We also define finitely prefix-free languages in which a string x can be a prefix of finitely many strings. We present efficient algorithms that determine whether or not a given regular language is k-prefix-free, k-suffix-free or k-infix-free, and analyze the time complexity of the algorithms. We establish undecidability results for deciding these properties for (linear) context-free languages.

关键词： Codes marginal errors decision algorithms undecidability regular languages context-free languages

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