By Topic

Game-Theoretic Approach for Partial Sharing of Information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Raweewan, M. ; Nat. Sci. & Technol. Dev. Agency, Pathumthani ; Ferrell, W.G.

This paper presents an integrated methodology to support decision making in cooperation through interorganizational information sharing. The methodology employs game-theoretic approach to determine whether it is advantageous to share information in situations of 1) competition-cooperation and 2) co-opetition. The decision allows partial sharing of information which we quantify on a scale from 0 to 100%. The focus of this research is developing a methodology to determine the optimal strategy to assist decision makers so we limit the choices to three specific shapes for the payoff functions: linear, concave nonlinear, and convex nonlinear. These three types of function; however, capture human behavior. Linear, concave, and convex utility functions are employed for players who prefer risk-neutral, risk averse, and risk loving, respectively. Finally, examples are provided to illustrate how the methodology can be used in practice.

Published in:

Asia-Pacific Service Computing Conference, The 2nd IEEE

Date of Conference:

11-14 Dec. 2007