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EN
The MCDA technique has been extensively and successfully applied for supporting decision making in negotiation processes. The mostly used techniques SAW, AHP or TOPSIS are based on direct preference information which requires from negotiator a clear and precise definition all the parameters of the preference model (e.g. issue weights, option rates, aspiration and reservation values etc.), so those techniques can be successfully applied in well-structured negotiation problems. But, many real negotiation problems are illstructured, that means that the negotiation space is imprecisely defined, and the negotiator’s preferences the vagueness or imperfect. The main purpose of this paper is to investigate the potentials and the applicability the UTA method, one of the techniques based on indirect preference information, in evaluation of negotiation offers, especially in ill-structured negotiation problems. The UTA (Jacquet-Lagreze and Siskos, 1978, 1982, 2001) is a multicriteria decision making method which is based on the linear programming model for inferring additive utility functions from a set of representative decision data. The example is also presented to elaborate and demonstrate the holistic judgment and the usefulness UTA approach for evaluation negotiation offers.
EN
This paper described the main idea of the MACBETH approach and M-MACBETH software to multicriteria negotiation analysis. The MACBETH is based on the additive value model and requires only qualitative judgments about differences of attractiveness to help a decision maker quantify the relative value of options or criteria. The main goal of this procedure is to support interactive learning about evaluation problems and to provide the recommendations to select and rankordering options/criteria in decision making processes. We proposed to use MACBETH methodology as well M-MACBETH software to support ill-structure negotiation problems, i e. evaluation of negotiation offers in an environment with uncertain, subjective and imprecise information and not precisely defined decision makers preferences. An numerical example showing how M-MACBETH software can be implemented in practice, in order to help a negotiator to define numerical values of options/criteria based on verbal statements and next build a scoring system negotiation offers taking into account different types of issues in negotiation problems is presented. More detail we describe the main key points of M-MACBETH software related to structuring the negotiation model, building value scales for evaluation negotiation packages, weighting negotiation issues and selected elements of sensitivity analyzes.
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