Source: http://kt.ijs.si/MarkoBohanec/dex.html
Timestamp: 2019-04-25 08:13:48+00:00

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DEX is an interactive computer program for the development of qualitative multi-attribute decision models and the evaluation of options. It is aimed at the support of decision-makers in complex decision-making problems: given a set of options (alternatives), the task is to select the option that best satisfies the goals of the decision maker.
DEX is based on multi-attribute decision making. In this approach, the decision problem is decomposed into smaller, less complex subproblems. The decomposition is represented by a hierarchy (i.e., directed acyclic graph or, most commonly, a tree) of attributes. Options are evaluated by an aggregation that is gradually performed from the leaves towards the root of the hierarchy.
DEX differs from other multi-attribute decision support systems in that it uses qualitative (symbolic) attributes instead of quantitative (numeric) ones. Also, aggregation (utility) functions in DEX are defined by if-then decision rules rather than numerically by, for instance, the weighted sum. To evaluate incompletely or inaccurately defined options, DEX employs fuzzy or probabilistic distibutions of values. For the explanation of option evaluation, DEX primarily uses the method known as "selective explanation".
DEX runs under MS-DOS operating system on IBM PC and compatible computers. The program is implemented in Borland Pascal 7.0 and has approximately 15,000 lines of code.
The so-called "student version" of DEX is freely available for non-commercial applications. This version is fully functional, but limited to 25 attributes and 10 options. To install it, download the ZIP archive and unpack it to a directory of your choice. Also, see the READ_ME.TXT file contained in the archive.
DEX was developed at the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia. The development started in 1987 and was, apart from very minor later revisions, completed in 1990.
DEX is outdated and superseded by DEXi.
DEX's descendant is DEXi, an educational computer program for qualitative decision modelling, running under MS Windows.
JDEXi is an open-source Java library implementing: the parsing of DEXi models and evaluation of options.
M. Bohanec: DEX: An Expert System Shell for Multi-Attribute Decision Making, User's Manual (Software version 1.00ITR), Jožef Stefan Institute, Report DP-5896, 1990.
M. Bohanec: Introduction to DEX. Jožef Stefan Institute, Report DP-6240, 1991.
For students: a template for preparing a DEX Project Report (Microsoft Word document, RTF format, in Slovene).
J.Efstathiou, V. Rajkovič (1979): Multiattribute Decisionmaking Using a Fuzzy Heuristic Approach. IEEE Transaction on Systems, Man and Cybernetics, Vol. SMC-9, No.6, June 1979.
M.Bohanec, V. Rajkovič (1990): DEX: An Expert System Shell for Decision Support. Sistemica 1(1), 145-157, 1990.
M. Bohanec, B. Urh, B., V. Rajkovič (1992): Evaluating options by combined qualitative and quantitative methods. Acta Psychologica 80, 67-89, North-Holland.
M. Bohanec, V. Rajkovič, B. Semolič, A. Pogačnik (1995): Knowledge-based portfolio analysis for project evaluation. Information & Management 28, 293-302, Elsevier.
M. Bohanec, V. Rajkovič (1995): Večparametrski odločitveni modeli. Organizacija 28(7), 427-438.
M. Bohanec, B. Cestnik, V. Rajkovič (1996): A management decision support system for allocating housing loans. In: Implementing systems for supporting management decisions (eds. P. Humphreys, L. Bannon, A. McCosh, P. Migliarese, J.-C. Pomerol), London: Chapman & Hall, 34-43.
M. Bohanec, B. Zupan, V. Rajkovič (1997): Hierarhični odločitveni modeli in njihova uporaba v zdravstvu. Zbornik CADAM-97: Računalniška analiza medicinskih podatkov (eds. I. Kononenko, T. Urbančič), Institut Jožef Stefan, 1-17.
Bohanec, M., Cestnik, B., Rajkovič, V. (1998): Evaluation models for housing loan allocation in the context of floats. In: Context sensitive decision support systems (eds. Berkeley, D., Widmeyer, G.R., Brezillon, P., Rajkovič, V.), London: Chapman & Hall, 174-189.
Bohanec, M., Rajkovič, V. (1999): Multi-attribute decision modeling: Industrial applications of DEX. Informatica 23, 487-491.
Bohanec, M., Rajkovič, V., Leskošek, B., Kapus, V. (2000): Expert knowledge management for sports talent identification and advising process. In: Decision Support through Knowledge Management (eds. Carlsson, S.A., Brezillon, P., Humphreys, P., Lundberg, B.G., McCosh, A.M., Rajkovič, V.), IFIP, 46-59.
Bohanec, M., Zupan, B., Rajkovič, V. (2000): Applications of qualitative multi-attribute decision models in health care, International Journal of Medical Informatics 58-59, 191-205.
Bohanec, M., Zupan, B. (2001): Integrating decision support and data mining by hierarchical multi-attribute decision models, IDDM-2001: ECML/PKDD-2001 Workshop Integrating Aspects of Data Mining, Decision Support and Meta-Learning (eds. Giraud-Carrier, C., Lavrač, N., Moyle, S., Kavšek, B.), Freiburg, pp. 25-36. 2001.
Cestnik, B., Bohanec, M. (2001): Decision support in housing loan allocation: A case study, IDDM-2001: ECML/PKDD-2001 Workshop Integrating Aspects of Data Mining, Decision Support and Meta-Learning: Positions, Developments and Future Directions (eds. Giraud-Carrier, C., Lavrač, N., Moyle, S., Kavšek, B.), Freiburg, pp. 21-30.
Bohanec, M., Cestnik, B., Rajkovič, V. (2001): Qualitative multi-attribute modeling and its application in housing, Journal of Decision Systems 10, pp. 175-193.
Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds.) (2003): Data mining and decision support: Integration and collaboration. Kluwer Academic Publishers.
For further information about DEX and its applications contact its primary developer, Marko Bohanec. Any feedback about your experience with DEX will be greatly appreciated.

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