scholarly journals Intelligent decision support in logistics systems

2021 ◽  
pp. 145-153
Author(s):  
Ю.М. Искандеров ◽  
А.С. Свистунова ◽  
Д.С. Хасанов ◽  
А.С. Чумак
Keyword(s):  
Decision Support ◽  
Information Technologies ◽  
Subject Area ◽  
Main Element ◽  
Agent Platform ◽  
Cargo Handling ◽  
Intelligent Decision Making ◽  
Logistics Systems ◽  
Intelligent Decision ◽  
Intelligent Decision Support

В статье изложен подход, обеспечивающий реализацию комплексных логистических технологий на основе координации перевозок и процедур обработки грузов в интересах выполнения стратегии доставки «точно в срок» и «от двери до двери». Важнейшим фактором, обеспечивающим достижение высокого уровня качества управления транспортно-технологическими процессами, является формирование и использование релевантной системы интеллектуальной поддержки принятия решений, сформированной с учетом достижений новых информационных технологий. Представлены основные классы задач, решаемые при управлении логистическими системами. Отмечено, что система интеллектуальной поддержки принятия решений позволяет осуществлять планирование, управление и контроль всего логистического процесса в режиме реального времени с учетом требования минимизации используемых различного рода ресурсов. Ключевым элементом указанной системы является база знаний, содержащая формализованные знания предметной области. Дано представление мультиагентной платформы системы интеллектуальной поддержки принятия решений, показано ее использование при выборе комплексных логистических технологий. Для иллюстрации подхода была рассмотрена конкретная функциональная задача по принятию решения о выборе вида транспорта исходя из требуемых сроков доставки продукции. Отмечены преимущества системы интеллектуальной поддержки в выборе эффективных комплексных логистических технологий. The article outlines an approach that ensures the implementation of complex logistics technologies based on the coordination of transportation and cargo handling procedures in order to fulfill the delivery strategy "just in time" and "door to door". The most important factor ensuring the achievement of a high level of quality management of transport and technological processes is the formation and use of a relevant system of intelligent decision support, formed taking into account the achievements of new information technologies. The main classes of problems solved in the management of logistics systems are presented. It is noted that the system of intelligent decision-making support allows planning, management and control of the entire logistics process in real time, taking into account the requirement to minimize the various kinds of resources used. The main element of this system is the knowledge base containing formalized knowledge of the subject area. The multi-agent platform of the intelligent decision support system is presented; its use is shown when choosing complex logistics technologies. To illustrate the approach, a specific functional task for making a decision on the choice of a mode of transport based on the required delivery time of products was considered. The advantages of the system of intellectual support in the selection of effective complex logistics technologies were noted.

Based on the Agent of the Intelligent Decision Support System Research

2012 ◽  
Vol 482-484 ◽  
pp. 237-240
Author(s):  
Rui Feng Wang ◽  
Peng Li
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Agent Technology ◽  
System Research ◽  
Intelligent Decision Support System ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support

With the rapid development of Agent technology, its application field, more and more widely. In this paper, a based on the Agent of the intelligent decision support system frame, that is, in the original decision support system based on building an Agent, thus increasing the DSS of intelligent decision making level, for the future of intelligent decision support system provides a new way of thinking.

Improving Intelligent Decision Making in Urban Planning

2021 ◽  
Vol 8 (3) ◽  
pp. 40-58
Author(s):  
Abderrazak Khediri ◽  
Mohamed Ridda Laouar ◽  
Sean B. Eom
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Urban Planning ◽  
Agglomerative Clustering ◽  
New Techniques ◽  
Intelligent Decision Support System ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Urban Issues ◽  
Intelligent Decision Support

Generally, decision making in urban planning has progressively become difficult due to the uncertain, convoluted, and multi-criteria nature of urban issues. Even though there has been a growing interest to this domain, traditional decision support systems are no longer able to effectively support the decision process. This paper aims to elaborate an intelligent decision support system (IDSS) that provides relevant assistance to urban planners in urban projects. This research addresses the use of new techniques that contribute to intelligent decision making: machine learning classifiers, naïve Bayes classifier, and agglomerative clustering. Finally, a prototype is being developed to concretize the proposition.

An Intelligent Support System Integrating Data Mining and Online Analytical Processing

2011 ◽  
pp. 141-156
Author(s):  
Rahul Singh ◽  
Richard T. Redmond ◽  
Victoria Yoon
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Makers ◽  
Online Analytical Processing ◽  
Intelligent Decision Making ◽  
Course Of Action ◽  
Intelligent Decision ◽  
Analytical Processing ◽  
Intelligent Decision Support

Intelligent decision support requires flexible, knowledge-driven analysis of data to solve complex decision problems faced by contemporary decision makers. Recently, online analytical processing (OLAP) and data mining have received much attention from researchers and practitioner alike, as components of an intelligent decision support environment. Little that has been done in developing models to integrate the capabilities of data mining and online analytical processing to provide a systematic model for intelligent decision making that allows users to examine multiple views of the data that are generated using knowledge about the environment and the decision problem domain. This paper presents an integrated model in which data mining and online analytical processing complement each other to support intelligent decision making for data rich environments. The integrated approach models system behaviors that are of interest to decision makers; predicts the occurrence of such behaviors; provides support to explain the occurrence of such behaviors and supports decision making to identify a course of action to manage these behaviors.

An Intelligent Support System Integrating Data Mining and Online Analytical Processing

2008 ◽  
pp. 2964-2977
Author(s):  
Rahul Singh ◽  
Richard T. Redmond ◽  
Victoria Yoon
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Makers ◽  
Online Analytical Processing ◽  
Intelligent Decision Making ◽  
Course Of Action ◽  
Intelligent Decision ◽  
Analytical Processing ◽  
Intelligent Decision Support

Intelligent decision support requires flexible, knowledge-driven analysis of data to solve complex decision problems faced by contemporary decision makers. Recently, online analytical processing (OLAP) and data mining have received much attention from researchers and practitioner alike, as components of an intelligent decision support environment. Little that has been done in developing models to integrate the capabilities of data mining and online analytical processing to provide a systematic model for intelligent decision making that allows users to examine multiple views of the data that are generated using knowledge about the environment and the decision problem domain. This paper presents an integrated model in which data mining and online analytical processing complement each other to support intelligent decision making for data rich environments. The integrated approach models system behaviors that are of interest to decision makers; predicts the occurrence of such behaviors; provides support to explain the occurrence of such behaviors and supports decision making to identify a course of action to manage these behaviors.

Study on Counties Agricultural Economic Intelligent Decision-Making Support System (IDSS) Based on GIS and Knowledge

2014 ◽  
Vol 889-890 ◽  
pp. 1319-1322 ◽  
Author(s):  
Hui Li Yue ◽  
Ye Ping Zhu ◽  
Yan Xue ◽  
Jie Zhang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Agricultural Economic ◽  
Support System ◽  
Information Technologies ◽  
Temporal Distribution ◽  
Secondary Development ◽  
Economic Management ◽  
Intelligent Decision Making ◽  
Intelligent Decision

Aiming at the complex and diverse agricultural information resources, the article proposes a kind of intelligent and scientific agricultural economic analysis method and tool combining the various information technologies, which can improve the level of modern agricultural information management. A universal and compatible counties agricultural economic intelligent decision-making system based on GIS and knowledge is constructed to characterize and analyze agricultural economic spatial and temporal distribution of counties, which introduces multiple agricultural economic analyzing models combining the quantitative analysis of agricultural economic monitoring subsystem with the qualitative analysis of knowledge subsystem. The system utilizes C#.NET as development platform, and the secondary development technology of GIS that helps in the design of the agricultural economic intelligent decision support system, which provides efficient decision support for agricultural economic management sectors.

scholarly journals Аn intelligent decision support system for cultural property identification

2020 ◽  
pp. 78-82
Author(s):  
A. Мартиненко ◽  
Б. Мороз ◽  
І. Гуліна
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Subject Area ◽  
Cultural Property ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Property Identification ◽  
Intelligent Decision Support ◽  
Stated Problem

The article considers the problem of identifying cultural property, the development of methods and models for organizing and processing data and knowledge in an intelligent decision support system for cultural property identification. The complexity of the approach for solving the stated problem, prospects and ways of further research of this subject area are noted and identified.

scholarly journals Conceptual model of an intelligent decision support system to identify cultural values

2020 ◽  
pp. 51-57
Author(s):  
А. Мартиненко ◽  
Б. Мороз ◽  
I. Гуліна ◽  
O. Сироткіна
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Conceptual Model ◽  
Cultural Values ◽  
Support System ◽  
Subject Area ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Basic Work ◽  
Intelligent Decision Support

This paper addresses the issue of developing a conceptual model of an intelligent decision support system to identify cultural values as well as the definition of basic work scenarios and constraints. It also notes the complexity of the approach to solving the problem. Suggested routes for further research and usage of this subject area were also identified.

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