Measuring quality of object oriented (OO) software is challenging mainly because we are facing a number of more or less dependent parameters that characterize the properties of good OO design. This paper proposes a combination of AHP and PROMETHEE for measuring object oriented software design. We have compared AHP and PROMETHEE performance for such purpose in the ISAHP 2011. The result suggeste...

Today's economic crisis has led to bankruptcy of many successful, but usually large-sized enterprises. This brought into question the future of large-sized enterprises. However, the only alternative to largesized enterprises (LEs) is networking of small and medium-sized enterprises (SMEs) into Regional Production Networks (RPNet). RPNet is non-hierarchical organizational form in which every SME...

This paper is concerned with the following question: How to choose among Multi-Criteria Decision Aid (MCDA) methods to solve dynamic decision making problems under uncertainty? To address this question, a methodology has been proposed, which is based on a characterization of the MCDA methods. The MCDA methods are characterized according to 1) sufficient conditions that allow their use to solve ...

Cloud computing is changing rapidly the way users perceive the use of computer functions and resources as well as the development of more complex business models. A lot of new issues emerged by this ongoing trend, especially by privacy advocates as regards to the way cloud services providers control totally the communication and data exchanged between them and the users. The security status of ...

This paper discusses the strengths and weaknesses of the Preference Ranking Organisation MeTHod for Enrichment Evaluations (PROMETHEE) and analytic hierarchy process (AHP) methods. Building upon this analysis, recommendations are formulated to integrate into PROMETHEE a number of useful AHP features, especially as regards the design of the decision-making hierarchy (ordering of goals, sub-goals...

The notion of comparatively positioning objects with respect to each other is commonly called ranking. With respect to databases, the ranking issue is closely associated with data retrieval. Yu, Hwang, and Chang (2007) highlight that with the myriad of databases situated online, retrieving relevant data is problematic; in reality it becomes an online ranking problem (Chaudhuri, Das, Hristidis, ...

It has now become an important issue to evaluate the performance of technical institutions to develop better research and enrich the existing teaching processes. The results of such performance appraisal would serve as a reference point for decisions to choose a particular institution, hire manpower, and provide financial support for the betterment of students and underperforming institutions. ...

In this paper we study the multicriteria decision aid (MCDA) methods PROMETHEE and GAIA. The PROMETHEE method provides the decision maker with a ranking. The GAIA method provides a two dimensional representation of the decision problem based on the flows computed by the PROMETHEE method. However, a limit of the GAIA method is the loss of information by its two-dimensional projection which may l...

Public Venture Capital financing often fail rigorous scrutiny in their selection of high-potential start-ups as compared to Private Venture capital. In some developing countries, decision making on final selection for financial support of early stage but high potential Small and Medium sized Enterprises (SMEs) are often ‘clouded’ by several factors including consideration of political party aff...

For most decision making problems, finding representative parameters of a decision maker’s preferences remains a challenging task. We here adapt to the Promethee II outranking method an eliciting procedure named Q-Eval that has been developed in the context of multi-attribute utility. It refines the estimation of the preference parameters by iteratively querying the DM through pairwise action c...