Journal of
Systemics, Cybernetics and Informatics
HOME   |   CURRENT ISSUE   |   PAST ISSUES   |   RELATED PUBLICATIONS   |   SEARCH     CONTACT US
 



ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

Indexed by
DOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:
  • DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world.
  • Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO.
  • DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable.
  • DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable.
  • Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility.
  • DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles.
JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar


Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory


Published by
The International Institute of Informatics and Cybernetics


Re-Published in
Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


How Does Logical Dynamics Assist Interdisciplinary Education and Research in Addressing Cognitive Challenges?
Mengqin Ning, Jiahong Guo
(pages: 1-6)

Inter-Corrective Meta-Dialogue on Constructive Impact of Trans-disciplinary Communication in Modern Education
Vinod Kumar Verma
(pages: 7-9)

Intergenerational Learning for Older and Younger Employees: What Should Be Done and Should Not?
Gita Aulia Nurani, Ya-Hui Lee
(pages: 10-15)

On the Ontological Notion of Education
Jeremy Horne
(pages: 16-24)

Research-Based Learning in Intergenerational Dialogue and Its Relationship to Education
Sonja Ehret
(pages: 25-29)

Role-Playing in Education: An Experiential Learning Framework for Collaborative Co-design
Cristo Leon, James Lipuma, Sirimuvva Pathikonda, Rafael Arturo Llaca Reyes
(pages: 30-38)

The Emergent Role of Artificial Intelligence as Tool in Conducting Academic Research
Bilquis Ferdousi
(pages: 39-46)

The Impact of Cybernetic Relationships Between Education and Work-Based Learning
Birgit Oberer, Alptekin Erkollar
(pages: 47-51)

The Notions of Education and Research
Nagib Callaos, Jeremy Horne
(pages: 52-62)

Towards Sustainable Legal Education Reform: Interdisciplinary and Transdisciplinary Approaches in Albania's Justice System
Adrian Leka, Brunilda Haxhiu
(pages: 63-67)

Transdisciplinary Research and the Gift Economy
Teresa Henkle Langness
(pages: 68-75)


 

Abstracts

 


ABSTRACT


Evaluating Loans Using a Combination of Data Envelopment and Neuro-Fuzzy Systems

Rashmi Malhotra, D.K. Malhotra


A business organization’s objective is to make better decisions at all levels of the firm to improve performance. Typically organizations are multi-faceted and complex systems that use uncertain information. Therefore, making quality decisions to improve organizational performance is a daunting task. Organizations use decision support systems that apply different business intelligence techniques such as statistical models, scoring models, neural networks, expert systems, neuro-fuzzy systems, case-based systems, or simply rules that have been developed through experience. Managers need a decision-making approach that is robust, competent, effective, efficient, and integrative to handle the multi-dimensional organizational entities. The decision maker deals with multiple players in an organization such as products, customers, competitors, location, geographic structure, scope, internal organization, and cultural dimension [46]. Sound decisions include two important concepts: efficiency (return on invested resources) and effectiveness (reaching predetermined goals). However, quite frequently, the decision maker cannot simultaneously handle data from different sources. Hence, we recommend that managers analyze different aspects of data from multiple sources separately and integrate the results of the analysis. This study proposes the design of a multi-attribute-decision-support-system that combines the analytical power of two different tools: data envelopment analysis (DEA) and fuzzy logic. DEA evaluates and measures the relative efficiency of decision making units that use multiple inputs and outputs to provide non-objective measures without making any specific assumptions about data. On the other hand fuzzy logic’s main strength lies in handling imprecise data. This study proposes a modeling technique that jointly uses the two techniques to benefit from the two methodologies. A major advantage of the DEA approach is that it clearly identifies the important factors contributing to the success of a decision. In addition, I also propose the use of a neuro-fuzzy model to create a rule-based system that can aid the decision-maker in making decisions regarding the implications of a decision. One of the important characteristics of neuro-fuzzy systems is their ability to deal with imprecise and uncertain information. The neuro-fuzzy model integrates the performance values of a set of production units derived by ranking using DEA to create IF-THEN rules to handle fluctuating and uncertain scenarios. Thus, a decision maker can easily analyze and understand any decision made by the neuro-fuzzy model in the form of the easily interpretable IF-THEN rules.

[46] M. PorterCompetitive Strategy: techniques for Analyzing Industries and Competitors, The Free Press, New York, 1980.

Full Text