doktorska disertacija
Andrej Bregar (Author), Matjaž B. Jurič (Mentor), József Györkös (Co-mentor)

Abstract

V doktorski disertaciji je definiran izviren mehanizem integrativnih večagentnih pogajanj, ki temelji na dihotomijskem sortiranju alternativ ter izražanju presoj v obliki parnih primerjav, mehkih vrednosti, holističnih informacij, psevdokriterijev in prednostnih relacij. Gre za prvi pristop k uporabi združitveno-razdružitvene analize v pogajalskih in skupinskih odločitvenih procesih z visoko stopnjo avtonomnosti. Združitveno-razdružitveni princip zmanjšuje miselno breme, izboljšuje zmožnost učenja o problemski domeni in udejanja samodejno prilagajanje individualnih presoj konsenzni odločitvi. Vpet je v protokol sodelovanja agentov, ki omogoči aktivno razreševanje nesoglasij in konvergenco mnenj z upoštevanjem metrik gibanja skupine ter zagotovi verodostojnost, racionalnost in zanesljivost konsenzne odločitve na osnovi metrik robustnosti, implementiranih v obliki matematičnih optimizacijskih algoritmov. Nadgrajen je v smislu izpeljave korelacij med parametri odločitvenega modela, pri čemer se osredotoča na specifikacijo uteži kriterijev glede na vpliv veta. Vpeljane metodološke rešitve so ovrednotene s celovitim eksperimentalno-teoretičnim modelom, ki sestoji iz več kot dvajsetih spremenljivk in triindvajsetih hipotez. Rezultati simulacije na velikih naborih statističnih podatkov, ki so odraz širokega spektra problemskih situacij, in teoretični dokazi potrjujejo hitro konvergenco, sposobnost avtonomnega usmerjanja odločevalcev in njihovih osebnih agentov, učinkovitost obdelave preferenčnih informacij ter robustnost in verodostojnost sprejete odločitve kakor tudi samodejno izpeljanih uteži kriterijev.

Keywords

sistemi za podporo odločanju;večkriterijska odločitvena analiza;skupinsko odločanje;integrativna večagentna pogajanja;iskanje konsenza;združitveno-razdružitvena analiza;teorija koristnosti;

Data

Language: Slovenian
Year of publishing:
Source: Maribor
Typology: 2.08 - Doctoral Dissertation
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [A. Bregar]
UDC: 004.424.25(043.2)
COBISS: 244177408 Link will open in a new window
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Downloads: 264
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Other data

Secondary language: English
Secondary title: An Aggregation-Disaggregation Approach to Integrative Negotiations
Secondary abstract: In the dissertation, an original mechanism for integrative multi-agent negotiations is defined. It is based on the dichotomic sorting analysis, and on the elicitation of preferences in the form of pairwise comparisons, fuzzy values, holistic information, pseudo-criteria and outranking relations. It is the first available approach to apply the aggregation-disaggregation principle to highly autonomous negotiation and group decision-making processes. The aggregation-disaggregation analysis reduces the cognitive load, improves the ability of learning about the problem domain, and automatically adapts individual preferences to match the consensual solution. It is an integral part of the agent interaction protocol, which resolves disagreements among group members and allows for the convergence of opinions by observing the group's direction, and ensures the credibility, reliability and rationality of the consensual decision by introducing robustness metrics that are implemented with several mathematical optimization algorithms. In order to model correlations between preferential parameters, the aggregation-disaggregation approach is extended with two distinct methods thatderive criteria weights according to the influence of veto thresholds. The introduced methodological solutions are evaluated on the basis of a comprehensive experimental and theoretical model comprising of twenty three hypotheses and over twenty variables. The results of a simulation performed on large sets of sampled statistical data that reflect a wide spectrum of problem situations, and theoretical proofs confirm fast convergence, the ability to autonomously guide the decision-makers and their personal agents, the efficiency of processing preferential information, as well as the robustness and credibility of both the suggested decision and the inferred criteria weights.
Secondary keywords: decision support systems;multi-criteria decision analysis;group decision-making;agent negotiation;consensus seeking;aggregation-disaggregation analysis;utility theory;
URN: URN:SI:UM:
Type (COBISS): Dissertation
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages: IX, 356 str.
Keywords (UDC): science and knowledge;organization;computer science;information;documentation;librarianship;institutions;publications;znanost in znanje;organizacije;informacije;dokumentacija;bibliotekarstvo;institucije;publikacije;prolegomena;fundamentals of knowledge and culture;propaedeutics;prolegomena;splošne osnove znanosti in kulture;computer science and technology;computing;data processing;računalniška znanost in tehnologija;računalništvo;obdelava podatkov;software;programje;computer programming;computer programs;računalniško programiranje;računalniški programi;
ID: 985666
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