Tacit knowledge plays an important role in decision making that is why, in this paper, we introduce a new approach based on tacit knowledge for decision process. Our approach is based on a practical case study in the field of second hand vehicle purchase. This paper proposes ideas and research issues on how to tackle tacit knowledge for decision process with cost-benefit and multicriteria analy...

E-cognocracy [Moreno-Jiménez, 2003, 2006; Moreno-Jiménez and Polasek, 2003, 2005] is a new democratic system conceived for the purpose of extracting and diffusing the knowledge derived from the scientific resolution of complex problems that arise in the field of public decision making. For both the modelling and resolution of problems and the diffusion of knowledge, e-cognocracy uses multicrite...

IntroductIon Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing enabled by the advent of the Internet combined with BLOCKINartificial-intelligence BLOCKIN(AI) BLOCKINtechniques, BLOCKINhave extended the reach of DSSs to assist with decisions in BLOCKINreal BLOCKINtime ...

A novel environment for optimization, analytics and decision support in general engineering design problems is introduced. The utilized methodology is based on reactive search optimization (RSO) procedure and its recently implemented visualization software packages. The new set of powerful integrated data mining, modeling, visualiztion and learning tools via a handy procedure stretches beyond a...

This paper proposes a qualitative approach to solve multicriteria decision making problems under possibilistic uncertainty. Depending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic) and on her attitude with respect to criteria (i.e. conjunctive or disjunctive), four ex-ante and four ex-post decision rules are defined and investigated. In particular, t...

This chapter reviews the multicriteria analysis applied to the selection problems in agricultural systems. It also discusses life cycle impact assessment (LCIA) from the decision analytic framework. Special attention is paid to the attributes (evaluation criteria) used for evaluating agricultural systems by considering their impacts on the environment. Problem structuring in decision analysis, ...

The concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets. The theory of intuitionistic fuzzy sets is well suited to dealing with vagueness. Recently, intuitionistic fuzzy sets have been used to build soft decision making models that can accommodate imprecise information, and two solution concepts about the intuitionistic fuzzy core and the consensus winner for...

PROMETHEEmethods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEEmethods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The applicati...

This paper extends the multicriteria decision paradigm to the heuristic search domain in a systematic way. A useful formal definition of multicriteria heuristic graph search problems is provided. Then the fundamental issues in multicriteria search are described in detail and a general framework is developed. Several new procedures are presented and analyzed for the usual multicriteria decision ...

The paper addresses the modular design of composite solving strategies for multicriteria ranking (sorting). Here a " scale of creativity " that is close to creative levels proposed by Altshuller is used as the reference viewpoint: (i) a basic object, (ii) a selected object, (iii) a modified object, and (iv) a designed object (e.g., composition of object components). These levels maybe used in v...