An incident information management framework based on data integration, data mining, and multi-criteria decision making

2011 ◽  
Vol 51 (2) ◽  
pp. 316-327 ◽  
Author(s):  
Yi Peng ◽  
Yong Zhang ◽  
Yu Tang ◽  
Shiming Li
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Integration ◽  
Information Management ◽  
Multi Criteria Decision Making ◽  
Management Framework ◽  
Integration Data

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Elham Rafiei Sardooi ◽  
Ali Azareh ◽  
Tayyebeh Mesbahzadeh ◽  
Farshad Soleimani Sardoo ◽  
Eric J. R. Parteli ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Hybrid Model ◽  
Risk Mapping ◽  
Landslide Risk ◽  
Multi Criteria Decision Making ◽  
Golestan Province ◽  
Using Data

scholarly journals Fuzzy-Based Symmetrical Multi-Criteria Decision-Making Procedure for Evaluating the Impact of Harmful Factors of Healthcare Information Security

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 664 ◽  
Author(s):  
Rajeev Kumar ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Security ◽  
Information Management ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Multi Criteria Decision Making ◽  
Local Hospital ◽  
Healthcare Information ◽  
Security Breaches ◽  
The Impact

Growing concern about healthcare information security in the wake of alarmingly rising cyber-attacks is being given symmetrical priority by current researchers and cyber security experts. Intruders are penetrating symmetrical mechanisms of healthcare information security continuously. In the same league, the paper presents an overview on the current situation of healthcare information and presents a layered model of healthcare information management in organizations. The paper also evaluates the various factors that have a key contribution in healthcare information security breaches through a hybrid fuzzy-based symmetrical methodology of AHP-TOPSIS. Furthermore, for assessing the effect of the calculated results, the authors have tested the results on local hospital software of Varanasi. Tested results of the factors are validated through the comparison and sensitivity analysis in this study. Tabulated results of the proposed study propose a symmetrical mechanism as the most conversant technique which can be employed by the experts and researchers for preparing security guidelines and strategies.

scholarly journals Application of Consumer Clustering Mining Data Mining in Household with Fuzzy Multi Criteria Decision Making (FMCDM)

2017 ◽  
Vol 2 (1) ◽  
pp. 31
Author(s):  
Muhammad Anshari ◽  
I Putu Suryadharma ◽  
Nyoman Putra Sastra
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Environmental Criteria ◽  
Selection Of ◽  
Help System

This study aims to classify consumers in the selection of houses using Fuzzy Multi Criteria Decision Making (FMCDM) method based on data mining. Alternative houses provided there are four of the minimalist houses, contemporary modern homes, classical houses, and traditional ethnic houses. To generate these choices, there are five criteria: price criteria, home/type criteria, interior criteria, exterior criteria, and home environmental criteria. The results of this study can help system users in determining the choice of home type based on the user's tastes of the criteria available and also can help the investors and contractors in building houses, villas, hotels, and housing of the criteria.

Data Mining technology as a tool for supporting analytical decision making process in Health Information Management System (HIMS)

2021 ◽  
Vol 5 (2) ◽  
pp. 139-147
Author(s):  
Gbenga Femi Asere ◽  
Dung Emmanuel Botson
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information System ◽  
Strategic Management ◽  
Information Management ◽  
Management System ◽  
Clinical Decision Making ◽  
Information Management System ◽  
Decision Making Process ◽  
Mining Technology

Wide spread use of information system in the delivery of managed healthcare system and the challenges of identifying and disseminating relevant healthcare information, complex and diverse data and knowledge forms and tasks coupled with the prevalence of legacy systems require automated approaches for effective and efficient utilization of massive amount of data to support in strategic planning and decision-making and assist the strategic management mechanisms. Despite the fact that data mining is progressively used in information systems as a technology to support analytical decision making, it is however still barely used in hospital information system to support analytical decision making process. Hence, this paper presents the usefulness of data mining technology in Hospital Information Management System (HIMS). Data mining technology offered capabilities to increase the productivity of medical personnel, analyze care outcomes, lower healthcare costs, improve healthcare quality by using fast and better clinical decision making and generally assist the strategic management mechanisms.

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