New method of selecting efficient project portfolios in the presence of hybrid uncertainty
Journal Title: Operations Research and Decisions - Year 2016, Vol 26, Issue 4
Abstract
A new methods of selecting efficient project portfolios in the presence of hybrid uncertainty has been presented. Pareto optimal solutions have been defined by an algorithm for generating project port-folios. The method presented allows us to select efficient project portfolios taking into account statisti-cal and economic dependencies between projects when some of the parameters used in the calculation of effectiveness can be expressed in the form of an interactive possibility distribution and some in the form of a probability distribution. The procedure for processing such hybrid data combines stochastic simulation with nonlinear programming. The interaction between data are modeled by correlation ma-trices and the interval regression. Economic dependences are taken into account by the equations bal-ancing the production capacity of the company. The practical example presented indicates that an in-teraction between projects has a significant impact on the results of calculations
Authors and Affiliations
Bogdan RĘBIASZ
Opinion formation in social networks
A number of selected works on the dynamics of opinions and beliefs in social networks has been discussed. Both Bayesian and non-Bayesian approaches to social learning have been considered, but the analysis has been focus...
Ruin probability of a discrete-time risk process with proportional reinsurance and investment for exponential and Pareto distributions
The paper focuses on a quantitative analysis of the probability of ruin in a finite time for a discrete risk process with proportional reinsurance and investment of the financial surplus. It is assumed that the total los...
Barriers to the development of spin-offs. A fuzzy-set-theoretic approach
University spin-offs have idiosyncratic strengths in comparison to other new firms. However, evidence also shows that Polish university spin-offs have a low survival rate, and only a small percent of them grow into susta...
Analysis of complex decision problems based on cumulative prospect theory
Complex risky decision problems involve sequences of decisions and random events. The choice at a given stage depends on the decisions taken in the previous stages, as well as on the realizations of the random events tha...
EDITORIAL
This special issue of the Operations Research and Decisions is dedicated to the Spain-Italy-Netherlands Meeting on Game Theory SING 10, an international meeting that started as a reference point for game theorists mainly...