Utilization of soft computing to improve cooperative management efficiency

Authors:
Seyed A. Shahrestani
Affiliations:
School of Computing and Mathematics, University of Western Sydney, Penrith South, NSW, Australia
Venue:
WSEAS Transactions on Circuits and Systems
Year:
2008

Citing 9
Cited 1

Transitive closures of fuzzy thesauri for information-retrieval systems

International Journal of Man-Machine Studies
Proximity relations in the fuzzy relational database model

Fuzzy Sets and Systems
Computer-Supported Cooperative Work: History and Focus

Computer
Identification of dynamic fuzzy models

Fuzzy Sets and Systems
Transforming work: collaboration, learning, and design

Communications of the ACM
Object-oriented client/server Internet environments

Object-oriented client/server Internet environments
Soft Computing and Fuzzy Logic

IEEE Software
An Application of Neural Network and Rule-Based System for Network Management: Application Level Problems

HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Advanced Technology Track - Volume 5
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis

IEEE Transactions on Computers

ICT healthcare: overcoming complex barriers for successful deployment

CONTROL'09 Proceedings of the 5th WSEAS international conference on Dynamical systems and control

Quantified Score

Hi-index	0.00

Visualization

Abstract

Provision of collaborative services requires cooperation among various entities of an organization. Furthermore, efficient management of any complex system, such as large enterprises or modern enterprise networks, depends on understanding the roles of its constituents and their interactions with one another. Interaction of humans is partially or fully dictated by their level of awareness of the capacity that others have in supporting them in fulfilling the tasks at hand. As such, awareness modelling and levels can play significant roles in improving the management efficiency. The awareness levels in human beings and managers have a fuzzy nature with linguistic variables extensively used in their characterizations and communications. Noting the underlying fuzziness, this paper explores how soft computing can be used to improve awareness modelling to achieve more effective cooperative management. This is further demonstrated through its application to an illustrative example that utilizes fuzzy proximity networks.