Information structures in set-valued information systems from granular computing viewpoint

2018 ◽  
Vol 35 (5) ◽  
pp. e12290
Author(s):  
Fei Xia ◽  
Hongxiang Tang
Keyword(s):  
Information Systems ◽  
Granular Computing ◽  
Information Structures

Informational Priorities in Health Information Systems

2011 ◽  
pp. 763-781
Author(s):  
Malgorzata Kisilowska
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Information Needs ◽  
Information Science ◽  
Health Information System ◽  
Information Structures ◽  
Information Professionals ◽  
Types Of Information

This chapter presents the model of a wide health information system, designed in accordance with information science theories and requirements. The model, based on modern ICT solutions, reflects the idea of information processes (collection, indexing, transfer) as seen in an information science perspective. It concentrates on optimal answering information needs of different categories of patrons, including adaptation of information-retrieval tools to their competencies. The author discusses different types of information indispensable in healthcare practice, analyzes methods of knowledge representation in health information system, proposes methodology of surveying information needs of health professionals, and describes challenges of linguistic tools used in information systems. The author hopes that such a model will emphasis the need of cooperation among ICT, health, and information professionals in designing information structures and processes.

scholarly journals A new Systemic Taxonomy of Cyber Criminal activity

Politehnika ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 17-27
Author(s):  
Matej Babič ◽  
Damir Purković
Keyword(s):  
Fractal Dimension ◽  
Information Systems ◽  
Information Security ◽  
Criminal Activity ◽  
Real System ◽  
New Method ◽  
Information Structures ◽  
Related Data ◽  
Criminological Perspective ◽  
The Impact

Cybercrime commonly refers to a broad range of different criminal activities that involve computers and information systems, either as primary tools or as primary targets. Cybercrime Science combines the methodology of Crime Science with the technology of Information Security. The few existing taxonomies of Cybercrime provide only general insights into the benefits of information structures; they are neither complete nor elaborated in a systemic manner to provide a proper framework guided by real system-principles. The main problem with such taxonomies is the inability to dynamically upgrade, which is why there is no timely cybersecurity actions. The current and past approaches were based mainly on the technical nature of cyberattacks and such approaches classified the impact of the activities from a criminological perspective. In this article, we present a systemic taxonomy of Cybercrime, based on definitions of the field items and the related data specifications. We develop a new method for estimating the fractal dimension of networks to explore a new taxonomy of Cybercrime activity. This method can serve to dynamically upgrade taxonomy and thus accelerate the prevention of cybercrime.

Information structures and entropy measurement for a fuzzy probabilistic information system

2021 ◽  
pp. 1-19
Author(s):  
Yanling He ◽  
Chunji Yao
Keyword(s):  
Information System ◽  
Information Structure ◽  
Granular Computing ◽  
Basic Structure ◽  
Fuzzy Relations ◽  
Information Structures ◽  
Inclusion Degree ◽  
Probabilistic Information ◽  
Entropy Measurement ◽  
Types Of Information

An information system (IS), an important model in the field of artificial intelligence, takes information structure as the basic structure. A fuzzy probabilistic information system (FPIS) is the combination of some fuzzy relations in the same universe that satisfy probability distribution. A FPIS as an IS with fuzzy relations includes three types of uncertainties (i.e., roughness, fuzziness and probability). This paper studies information structures in a FPIS from the perspective of granular computing (GrC). Firstly, two types of information structures in a FPIS are defined by set vectors. Then, equality, dependence and independence between information structures in a FPIS are proposed, and they are depicted by means of the inclusion degree. Next, information distance between information structures in a FPIS is presented. Finally, entropy measurement for a FPIS is investigated based on the proposed information structures. These results may be helpful for understanding the nature of structures and uncertainty in a FPIS.

scholarly journals Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Minlun Yan
Keyword(s):  
Information Systems ◽  
Set Theory ◽  
Rough Set ◽  
Granular Computing ◽  
Rough Set Theory ◽  
Attribute Reduction ◽  
Decision Rules ◽  
Evidence Theory ◽  
Point Of View ◽  
Upper Approximation

Attribute reduction is one of the most important problems in rough set theory. However, from the granular computing point of view, the classical rough set theory is based on a single granulation. It is necessary to study the issue of attribute reduction based on multigranulations rough set. To acquire brief decision rules from information systems, this paper firstly investigates attribute reductions by combining the multigranulations rough set together with evidence theory. Concepts of belief and plausibility consistent set are proposed, and some important properties are addressed by the view of the optimistic and pessimistic multigranulations rough set. What is more, the multigranulations method of the belief and plausibility reductions is constructed in the paper. It is proved that a set is an optimistic (pessimistic) belief reduction if and only if it is an optimistic (pessimistic) lower approximation reduction, and a set is an optimistic (pessimistic) plausibility reduction if and only if it is an optimistic (pessimistic) upper approximation reduction.

Informational Priorities in Health Information Systems

2011 ◽  
pp. 461-479
Author(s):  
Malgorzata Kisilowska
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Information Needs ◽  
Information Science ◽  
Health Information System ◽  
Information Structures ◽  
Information Professionals ◽  
Types Of Information

This chapter presents the model of a wide health information system, designed in accordance with information science theories and requirements. The model, based on modern ICT solutions, reflects the idea of information processes (collection, indexing, transfer) as seen in an information science perspective. It concentrates on optimal answering information needs of different categories of patrons, including adaptation of information-retrieval tools to their competencies. The author discusses different types of information indispensable in healthcare practice, analyzes methods of knowledge representation in health information system, proposes methodology of surveying information needs of health professionals, and describes challenges of linguistic tools used in information systems. The author hopes that such a model will emphasis the need of cooperation among ICT, health, and information professionals in designing information structures and processes.

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