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Wyświetlanie 1-3 z 3
Tytuł:
An Impact of Negotiation Profiles on the Accuracy of Negotiation Offer Scoring System? Experimental Study
Autorzy:
Kersten, Gregory
Roszkowska, Ewa
Wachowicz, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/578469.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Conflicts solving methods
Decision making
Negotiations
Metody rozwiązywania konfliktów
Negocjacje
Podejmowanie decyzji
Opis:
In this paper an impact of the party’s negotiation profile on the misperception of the preferential information provided to the negotiating parties is studied. In particular, the problems with determining an adequate and preferentially correct negotiation offer scoring system is analyzed, when the parties are supported in their decision analyses by means of the SAW technique. In the analyses we use the negotiation data from bilateral negotiation experiments conducted by means of the Inspire negotiation support system. To determine the negotiators’ profiles the Thomas-Kilmann Conflict Mode Instrument was used, which allows to describe their general negotiation approach using two dimensions of assertiveness and cooperativeness. The accuracy of scoring systems was defined as the extent to which the negotiator’s individual scoring system (agent’s system) is concordant to the preferential information provided by the negotiator’s superior (principal’s system) in the form of verbal and graphical descriptions, and measured by means of ordinal and cardinal accuracy indexes.
Źródło:
Multiple Criteria Decision Making; 2016, 11; 77-103
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preference-Driven Multiobjective Optimization Using Robust Ordinal Regression for Cone Contraction
Autorzy:
Kadziński, Miłosz
Słowiński, Roman
Powiązania:
https://bibliotekanauki.pl/articles/578592.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Odporne metody statystyczne
Optymalizacja wielokryterialna
Podejmowanie decyzji
Decision making
Multiple criteria optimization
Robust statistical methods
Opis:
We present a new interactive procedure for multiobjective optimization problems (MOO), which involves robust ordinal regression in contraction of the preference cone in the objective space. The most preferred solution is achieved by means of a systematic dialogue with the decision maker (DM) during which (s)he species pairwise comparisons of some non-dominated solutions from a current sample. The origin of the cone is located at a reference point chosen by the DM. It is formed by all directions of isoquants of the achievement scalarizing functions compatible with the pairwise comparisons of non-dominated solutions provided by the DM. The compatibility is assured by robust ordinal regression, i.e. the DM's statements concerning strict or weak preference relations for pairs of compared solutions are represented by all compatible sets of weights of the achievement scalarizing function. In successive iterations, when new pairwise comparisons of solutions are provided, the cone is contracted and gradually focused on a subregion of the Pareto optimal set of greatest interest. The DM is allowed to change the reference point and the set of pairwise comparisons at any stage of the method. Such preference information does not need much cognitive e ort on the part of the DM. The phases of preference elicitation and cone contraction alternate until the DM nds at least one satisfactory solution, or there is no such solution for the current problem setting.
Źródło:
Multiple Criteria Decision Making; 2013, 8; 67-83
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Re-Calculation of Happy Planet Index Using DEA Models
Autorzy:
Jablonsky, Josef
Powiązania:
https://bibliotekanauki.pl/articles/578570.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Analiza wielokryterialna
Jakość życia
Metody statystyczne
Podejmowanie decyzji
Quality of life
Decision making
Statistical methods
Multicriteria analysis
Opis:
Happy Planet Index (HPI) is an aggregated index that measures the extent to which each nation produces long and happy lives per unit of environmental input. The HPI uses global data on life expectancy, experienced well-being, and ecological footprint to rank countries. The last HPI report was published in 2012 and it contains data for 151 countries from all continents. The aim of the paper is to re-calculate the HPI using DEA models and other multiple criteria decision making techniques and compare the results obtained results. MCDM methods evaluate alternatives (countries) according to the set of criteria with respect to given preferences. Most of them allow ranking of alternatives according to aggregated indices defined by various methods. DEA models compare the countries with the best performers in the data set and measure the efficiency of transformation of multiple inputs into multiple outputs. Even though they are based on different principles than MCDM methods they allow ranking of evaluated units according to their efficiency or super-efficiency scores. The paper analyzes both methodological approaches and compares their results.
Źródło:
Multiple Criteria Decision Making; 2013, 8; 56-66
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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