Decision-making on Implementation of IPO Under Topological Uncertainty

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU113289" target="_blank" >RIV/00216305:26510/15:PU113289 - isvavai.cz</a>

Výsledek na webu

<a href="http://acta.mendelu.cz/63/1/0193/" target="_blank" >http://acta.mendelu.cz/63/1/0193/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201563010193" target="_blank" >10.11118/actaun201563010193</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Decision-making on Implementation of IPO Under Topological Uncertainty

Popis výsledku v původním jazyce

IPO (Initial Public Offering) is a complex decision making task which is always associated with different types of uncertainty. Poor accuracies of available probabilities of lotteries e.g. quantification of investor interest is studied in the first part of this paper (Meluzín, Doubravský, Dohnal, 2012). However, IPO is often prohibitively ill-known. This paper takes into consideration the fact that decision makers cannot specify the structure/topology of the relevant decision tree. It means that one IPO task is specified by several (partially) different decision trees which comes from different sources e.g. from different teams of decision makers/experts. A flexible integration of those trees is based on fuzzy logic using the reconciliation (Meluzín, Doubravský, Dohnal, 2012). The developed algorithm is demonstrated by a case study which is presented in details. The IPO case integrates two partially different decision trees.

Název v anglickém jazyce

Decision-making on Implementation of IPO Under Topological Uncertainty

Popis výsledku anglicky

IPO (Initial Public Offering) is a complex decision making task which is always associated with different types of uncertainty. Poor accuracies of available probabilities of lotteries e.g. quantification of investor interest is studied in the first part of this paper (Meluzín, Doubravský, Dohnal, 2012). However, IPO is often prohibitively ill-known. This paper takes into consideration the fact that decision makers cannot specify the structure/topology of the relevant decision tree. It means that one IPO task is specified by several (partially) different decision trees which comes from different sources e.g. from different teams of decision makers/experts. A flexible integration of those trees is based on fuzzy logic using the reconciliation (Meluzín, Doubravský, Dohnal, 2012). The developed algorithm is demonstrated by a case study which is presented in details. The IPO case integrates two partially different decision trees.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50602 - Public administration

Projekt

<a href="/cs/project/GA13-38047S" target="_blank" >GA13-38047S: Strategie IPO ? specifické přístupy v regionu CEE</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

2464-8310

Svazek periodika

63

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

193-200

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84925389441