Journal of
Systemics, Cybernetics and Informatics

ISSN: 1690-4524 (Online)

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Editorial Advisory Board's Chair
William Lesso

Nagib C. Callaos

Sponsored by
The International Institute of
Informatics and Systemics

Editorial Advisory Board


Journal's Reviewers

Description and Aims

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Areas and Subareas

Information to Contributors

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Integrating Reviewing Processes

Are We Meeting Pedagogic Requirements? – The Quadratic Equation
Russell Jay Hendel
(pages: 1-7)

Facilitating Effective Student Participation in an Online Environment
Nanda van der Stap, Risa Blair
(pages: 8-11)

Virtual Global Classrooms without Walls: Collaborative Opportunities for Higher Learning Engagement
Cathy MacDonald, Debra Sheppard-LeMoine
(pages: 12-16)

Augmented Reality as Visual Communication for People with ASD
Esteban Menéndez, María Daniela López de Luise
(pages: 17-21)

Study of Race Condition: A Privilege Escalation Vulnerability
Tanjila Farah, Rashed Shelim, Moniruz Zaman, Delwar Alam
(pages: 22-26)

From the Lab to the Field: 3D Technology Supporting Study and Conservation Processes on Ancient Egyptian Artefacts
Paola Buscaglia, Elena Biondi, Alessandro Bovero, Tomasso Quirino
(pages: 27-32)

Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Daniel Gonzales, Zev Winkelman, Trung Tran, Ricardo Sanchez, Dulani Woods, John Hollywood
(pages: 33-38)

Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Katsuhiro Naito, Katsuyuki Tanaka
(pages: 39-44)

Technical Change and Employment in an Emerging Economy
Humberto Merritt
(pages: 45-53)

Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Altino José Mentzingen de Moraes
(pages: 54-59)

Flipped Classroom – A Flexible Way of Teaching Technology Usage for Diagnostics in the Medical Subdomain ENT
Walter Koch, Jochen Schachenreiter, Klaus Vogt, Gerda Koch
(pages: 60-64)

ERP Selection: The Lifeblood of an Organization
Desmond (Tres) Bishop
(pages: 65-69)

Proposing an Education System to Judge the Necessity of Nuclear Power in Japan
Ariyoshi Kusumi
(pages: 70-74)

Biometric Encryption System for Increased Security
Ranjith Jayapal, Pramod Govindan
(pages: 75-80)

BIM as a Structural Safety Study Tool in Case of Fire - BIMSCIP
Marcelo Franco Porto, José Ricardo Queiroz Franco, Luiza Giori Barcellos Correa, Lucas Vinicius Ribeiro Alves, Renata Maria Abrantes Baracho
(pages: 81-86)

Evaluating the Construct Validity of Basic Science Curriculum Assessment Instrument for Critical Thinking: A Case-Study
Chau-Kuang Chen, Adriana Marie Horner, Michelle Scott, Stephanie C. McClure
(pages: 87-92)

The Outer Banks Study – Physio-Chemical Parameters for Water Quality Testing/Professional Development Program for Teachers
Joseph Stringer, Timothy Bowman, Keith Vinson, Catherine Warnecke, Nora Lewis, William Slattery, Suzanne K. Lunsford
(pages: 93-97)





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.

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