Models of Non-Life Insurance Mathematics

In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory. In the first regression credibility model, starting from a well-known representation formula of the inverse for a special class of matrices a risk premium will be calculated for a contract with risk parameter q. In the next regression credibility model, we will obtain a credibility solution in the form of a linear combination of the individual estimate (based on the data of a particular state) and the collective estimate (based on aggregate USA data). Mathematics Subject Classification: 62P05.regression credibility theory, the risk parameter of the policy, the risk premium, the credibility calculations

Multi-Level Model

Is an original paper, which contains a hierarchical model with three levels, for determining the linearized non-homogeneous and homogeneous credibility premiums at company level, at sector level and at contract level, founded on the relevant covariance relations between the risk premium, the observations and the weighted averages. We give a rather explicit description of the input data for the multi- level hierarchical model used, only to show that in practical situations, there will always be enough data to apply credibility theory to a real insurance portfolio.hierarchical structure with three levels, observable variables with associated weights, the credibility results

Evaluation of the Project Management Competences Based on the Semantic Networks

The paper presents the testing and evaluation facilities of the SinPers system. The SinPers is a web based learning environment in project management, capable of building and conducting a complete and personalized training cycle, from the definition of the learning objectives to the assessment of the learning results for each learner. The testing and evaluation facilities of SinPers system are based on the ontological approach. The educational ontology is mapped on a semantic network. Further, the semantic network is projected into a concept space graph. The semantic computability of the concept space graph is used to design the tests. The paper focuses on the applicability of the system in the certification, for the knowledge assessment, related to each element of competence. The semantic computability is used for differentiating between different certification levels.testing, assessment, ontology, semantic networks, certification.

A Training Software Platform for the Research Projects Evaluation

The paper presents a training software platform which can be used by the evaluators for learning how to perform the research project evaluation and how to document the whole process, writing consistent comments. For the moment, the platform is ready for use on the proposals evaluation phase, but it can be easier extended in order to also cover the interim and the final evaluations of the research projects.services; goods; industrial society; knowledge-based society.

OPTIMIZING PROJECT TIME-COST-QUALITY BY USING GENETIC ALGORITHMS

Project management causes the problem of efficient resource assignment, activity, time constraints and relationships between activities. Traditional scheduling methods like CPM and PERT are incomplete tools to use in practice because they do not consider constraints regarding resources and cannot be realistic as they consider infinite resources. Optimization of project time-costs-quality is very complex and can be achieved by using meta-heuristic methods as Genetic Algorithms, Ant Algorithm, Tabu Search. In this article we study the state of the art in this domain, define the optimization problem we want to solve and propose some improvements for a genetic algorithm, starting from GENOCOP I (Genetic Algorithm for Numerical Optimizations of Constrained Problems) developed by Michalewicz and Janikow[12], later improved to GENOCOP V (Suzuki [9]).planning and scheduling, time-costs trade-off problem, genetic algorithms

Financial Management of the Construction Projects: A Proposed Cash Flow Analysis Model at Project Portfolio Level

Construction sector is vulnerable to economic changes, especially during recession periods due to the high capital outlays, cost flexibility and high competition limiting the price. The changes of the business environment, often associated with shortage of funds, exchange rate fluctuation and political instability are increasing the construction projects financial risks. The actual economical context in the Central and East European countries is characterized by an aggressive competition and a lack of investments in construction area. The common behaviour of the contractor construction companies during these days is to accept a large number of risks beyond their power to mitigate them only to still stay on the business. In order to win the tender, they are bidding lower prices which make them vulnerable to the unexpected events during the project, especially from financial aspects. But the lack of cash during the project progress both at the employer level but mostly at the contractor level leads to delays, penalties and loss of opportunities which are reflected in the health of projects and organizations. The paper proposes a practical cash flow analysis model, which can be applied by the construction companies mainly when decisions about portfolio structure are taken. Applying this proposed model, the construction companies could avoid high financial exposures and loses