CFP last date
20 May 2024
Reseach Article

Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components

by Huda Ahmed Abed, Hussein K. Khafaji
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 14
Year of Publication: 2018
Authors: Huda Ahmed Abed, Hussein K. Khafaji
10.5120/ijca2018916212

Huda Ahmed Abed, Hussein K. Khafaji . Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components. International Journal of Computer Applications. 179, 14 ( Jan 2018), 45-50. DOI=10.5120/ijca2018916212

@article{ 10.5120/ijca2018916212,
author = { Huda Ahmed Abed, Hussein K. Khafaji },
title = { Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 179 },
number = { 14 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number14/28871-2018916212/ },
doi = { 10.5120/ijca2018916212 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:14.460788+05:30
%A Huda Ahmed Abed
%A Hussein K. Khafaji
%T Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 14
%P 45-50
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The democratic era in Iraq that began in Iraq after the spring of 2003 resulted in a conflict among political, ethnic, religious and nationalism components of Iraq. This paper provides an unprecedented research based on scientific foundations to discover the conflicts and alliances among the components of the Iraqi people and determine future Iraqi's tendencies. It depends on the concepts of rough set and conflict analysis. The research required many steps to be achieved. Such steps are: determining the Iraqi vital issues, creating what so-called "information system" database, (IS), submitting the IS to rough set and conflict theory depending on the general system for conflict analysis presented in [1], and modification of conflict model to predict the extension of "Enmity" and "friendship" concepts depending on the suggested algorithms and operations presented in [2]. Twelve vital issues were selected, depending on rough set's reduct operation, out of 31 issues. 5692 Iraqis, belong to eight Iraqi blocs, expressed their opinions about the selected issues. The opinions were attained using electronic opinion acquisition system prepared for this purpose. The participator's opinion may be positive, neutral, or negative. The research discovered 42, 11, and 43 positive, neutrals, and negative opinions respectively. However, the overall conflict situation was 17 alliances, 10 conflicts, and 1 neutral relation. The paper includes the prediction that the unique neutral relation would change to an alliance relation. The degree of the strongest conflict between two major Iraqi components was 0.9166667, while the degree of the highest alliance between two Iraqi components is 0.04166667.

References
  1. Hussein K. Khafaji; Huda Ahmed Abed, 2017. “Design and Implementation of a General System for Conflict Analysis,” IOSR J. Comput. Eng., vol. 19, no. 5, pp. 16–22.
  2. H. K. Khafaji and Huda Ahmed Abed, 2017. “Prediction of Changes That May Occur in the Neutral Cases in Conflict Theory Based on Graph Theory,” nternational J. Comput. Sci. Inf. Secur., vol. 15, no. 9.
  3. M. C. Guangming Lang, Duoqian Miao, 2017. “Three-way decision approaches to confict analysis using decision-theoretic rough set theory.” Information Sciences.
  4. B. Sun, W. Ma, and H. Zhao, 2016. “Rough set-based conflict analysis model and method over two universes,” Information Sciences, vol. 372. pp. 111–125.
  5. Ho-Won Jeong, 2013. “Understanding Conflict and Conflict Analysis,” Journal of Chemical Information and Modeling, vol. 53, no. 9. pp. 20–40.
  6. Z. Pawlak, 1998. “An inquiry into anatomy of conflicts,” Inf. Sci. Elsevier scinece, vol. 109, no. 1–4, pp. 65–78.
  7. R. Deja, 2002. “Conflict Analysis.” INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS.
  8. Z.-B. Xu, Daowu Pei, 2004. .“Rough Set Models on Two universes.pdf.” International Journal of General Systems,Taylor & Francis.
  9. L. G. D. O. Silva and A. T. De Almeida-Filho, , 2016. “A multicriteria approach for analysis of conflicts in evidence theory,” Information Sciences, vol. 346–347. pp. 275–285.
  10. G. Guan, 2010. “Improved Pawlak conflict system and its application in the conflict problems of corporate governance,” IEEE Intell. Syst.
  11. Z. Pawlak, 1982 “Rough sets,” Int. J. Comput. Inf. Sci., vol. 11, no. 5, pp. 341–356.
  12. X. Yang and J. Yang, 2012 “Incomplete Information System and Rough Set Theory.”
  13. F. HADDAD, 2013 “Sunni-Shia Relations after the Iraq War Summary.” UNITED STATES INSTITUTE OF PEACE PEACEBRIEF.
  14. [H. H. Al-Qarawee, 2014.“IRAQ’S SECTARIAN CRISIS A Legacy of Exclusion.” The Carnegie Middle East Center.
  15. B. Rohwerder, 2014. “Contemporary conflict analysis of Iraq.” GSDRC,International Development Department, College of Social Sciences University of Birmingham, B15 2TT, UK.
  16. “Iraq profile - timeline,” bbc, 2017. [Online]. Available: http://www.bbc.com/news/world-middle-east-14546763.
  17. X. Jia, L. Shang, B. Zhou, and Y. Yao, , 2016. “Generalized attribute reduct in rough set theory,” Knowledge-Based Systems, vol. 91. pp. 204–218.
  18. “Iraqi_ Constitution,” General Secretariat for the Council of Ministers, 2005. [Online]. Available: http://www.cabinet.iq/PageViewer.aspx?id=2.
Index Terms

Computer Science
Information Sciences

Keywords

Rough set conflict system conflict analysis Iraqi components Iraqi conflict problem.