Ordering of potential collaboration options

Authors:
Sylvia Encheva
Affiliations:
Stord/Haugesund University College, Haugesund, Norway
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Year:
2012

Citing 4
Cited 0

A model of new product development: an empirical test

Management Science
Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data
Bilattices and Reasoning in ArtificialIntelligence: Concepts and Foundations

Artificial Intelligence Review
A Six-valued Logic to Reason about Uncertainty and Inconsistency in Requirements Specifications

Journal of Logic and Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work focuses on investigating the importance of evaluating the likelihood that a particular collaboration option is going to be profitable for a firm. Some collaboration options for a firm are first evaluated by experts on previously agreed upon criteria. Methods from rough set theory are afterwords employed for ordering of the agreed upon criteria with respect to their significance in predicting collaboration outcomes.