Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Rough-Set-Based Decision Model for Incomplete Information Systems

Rough-Set-Based Decision Model for Incomplete Information Systems
View Sample PDF
Author(s): Safiye Turgay (Sakarya University, Turkey), Orhan Torkul (Sakarya University, Turkey) and Tahsin Turgay (Sakarya University, Turkey)
Copyright: 2019
Pages: 16
Source title: Advanced Methodologies and Technologies in Business Operations and Management
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7362-3.ch056


View Rough-Set-Based Decision Model for Incomplete Information Systems on the publisher's website for pricing and purchasing information.


Databases use the data and evaluate managerial decisions in the process of data mining, and it has become imperative that we give the name of the emergence of the field. The rough set is a concept derived from the fuzzy logic approach to carry out the analysis of structures with uncertain data mining techniques. The decision will be developed in conjunction with computerized decision support model, giving more efficient automation systems with cuckoo search algorithm that are targeted. The suggested decision support system covers the inputs, user knowledge and expertise, outputs, and decision components. In addition, data access, interactive mode, adaptability, and flexible mode provides solutions and decision-making process for certain and uncertain data with suggested rough-set-based algorithm structure.

Related Content

Sajjad Nawaz Khan, Hafiz Mudassir Rehman, Mudaser Javaid. © 2022. 21 pages.
Seong-Yuen Toh. © 2022. 35 pages.
Paula Cristina Nunes Figueiredo. © 2022. 33 pages.
Deirdre M. Conway. © 2022. 24 pages.
Sriya Chakravarti. © 2022. 21 pages.
Adekunle Theophilius Tinuoye, Sylvanus Simon Adamade, Victor Ikechukwu Ogharanduku. © 2022. 26 pages.
Paula Figueiredo, Cristina Nogueira da Fonseca. © 2022. 36 pages.
Body Bottom