Fuzzy Logic based Decision Support System for

N. A.

doi:10.34028/iajit

Article Details

Fuzzy Logic based Decision Support System for

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 2, pp.48-55

Document Type:

Article

Publication Date:

1/2018

Document Language:

English

Document ID (Org No.):

2001389111

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 Software components are imperative parts of a system which play a fundamental role in the overall function of a 
system. A component is said to be secure if it has a towering scope of security. Security is a shield for unauthorized use as 
unauthorized users may informally access and modify components within a system. Such accessing and modifications 
ultimately affect the functionality and efficiency of a system. With an increase in software development activities security of 
software components is becoming an important issue. In this study, a fuzzy logic based model is presented to handle ISO/IEC 
18028-2 security attributes for component security evaluation. For this purpose an eight input, single output model based on 
the Mamdani fuzzy inference system has been proposed. This component security evaluation model helps software engineers 
during component selection in conditions of uncertainty and ambiguity.

Article Details

Fuzzy Logic based Decision Support System for

Authors: N. A.

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 2, pp.48-55

Document Type: Article

Publication Date: 1/2018

Document Language: English

Document ID (Org No.): 2001389111

pISSN: 2309-4524

DOI: 10.34028/iajit

Software component

component security

fuzzy logic

Issues

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 2, pp.48-55

Document Type:

Article

Publication Date:

1/2018

Document Language:

English

Document ID (Org No.):

2001389111

pISSN:

2309-4524

DOI:

10.34028/iajit