| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Fuzzy optimization for portfolio selection based on embedding theorem in fuzzy normed linear spaces
Authors:ID Solatikia, Farnaz (Author)
ID Kiliç, Erdem (Author)
ID Weber, Gerhard-Wilhelm (Author)
Files:.pdf Organizacija_2014_Solatikia,_Kiliç,_Weber_Fuzzy_optimization_for_portfolio_selection_based_on_Embedding_Theorem_in_Fuzzy_Normed_Linear_S.pdf (844,36 KB)
MD5: DB68D8BCAA73C96BE29C8A1B0B4A979E
PID: 20.500.12556/dkum/09d48898-e4c2-4a06-9680-83ecac20bf1f
 
URL http://www.degruyter.com/view/j/orga.2014.47.issue-2/orga-2014-0010/orga-2014-0010.xml
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Background: This paper generalizes the results of Embedding problem of Fuzzy Number Space and its extension into a Fuzzy Banach Space C(Ω) × C(Ω), where C(Ω) is the set of all real-valued continuous functions on an open set Ω. Objectives: The main idea behind our approach consists of taking advantage of interplays between fuzzy normed spaces and normed spaces in a way to get an equivalent stochastic program. This helps avoiding pitfalls due to severe oversimplification of the reality. Method: The embedding theorem shows that the set of all fuzzy numbers can be embedded into a Fuzzy Banach space. Inspired by this embedding theorem, we propose a solution concept of fuzzy optimization problem which is obtained by applying the embedding function to the original fuzzy optimization problem. Results: The proposed method is used to extend the classical Mean-Variance portfolio selection model into Mean Variance-Skewness model in fuzzy environment under the criteria on short and long term returns, liquidity and dividends. Conclusion: A fuzzy optimization problem can be transformed into a multiobjective optimization problem which can be solved by using interactive fuzzy decision making procedure. Investor preferences determine the optimal multiobjective solution according to alternative scenarios.
Keywords:investiranje, dobiček, portfelj, optimiranje, metode
Publication status:Published
Publication version:Version of Record
Year of publishing:2014
Number of pages:str. 90-98
Numbering:Letn. 47, št. 2
PID:20.500.12556/DKUM-69117 New window
ISSN:1318-5454
UDC:519.865
ISSN on article:1318-5454
COBISS.SI-ID:279077888 New window
DOI:10.2478/orga-2014-0010 New window
NUK URN:URN:SI:UM:DK:BUXBVCID
Publication date in DKUM:30.11.2017
Views:1140
Downloads:432
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Organizacija : revija za management, informatiko in kadre
Shortened title:Organizacija
Publisher:Moderna organizacija
ISSN:1318-5454
COBISS.SI-ID:610909 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:30.11.2017

Secondary language

Language:Slovenian
Title:Mehka optimizacija za izbiro portfelja na osnovi vstavljenega (vgrajenega) izreka v mehko normiran linearni prostor
Abstract:Ozadje: Članek posploši rezultate problema vgrajenega mehkega številskega prostora in njegovih razširitev v mehki Banachov prostor, kjer je C(Ω) množica vseh realnih kontinuirnih funkcij na odprti množici Ω. Cilji: Poglavitna ideja v ozadju našega pristopa je izrabiti prednost medsebojnega vpliva mehkih normiranih prostorov in normiranih prostorov na način, da dobimo ekvivalenten stohastičen program. Tako se laže izognemo tveganju zaradi prevelikega poenostavljanja realnosti. Metoda: Vgrajeni izrek pokaže, da množico vseh mehkih števil lahko vgradimo v mehki Banach-ov prostor. Izhajajoč iz tega izreka predlagamo rešitev koncepta mehkega optimizacijske problema, ki se pojavi, kadar uporabimo vgrajeno funkcijo na prvotnem mehkem optimizacijskem problemu. Rezultati: Predlagano metodo smo uporabili, da smo razširili klasičen model (srednja varianca) za izbiro portfeja na model v mehkem okolju (srednja varianca z nesimetrično porazdelitvijo) ob kriteriju dolgoročnih in kratkoročnih dobičkov na vlaganja, likvidnosti in dividend. Zaključek: Problem zabrisane optimizacije je mogoče pretvoriti v problem večkriterijske optimizacije, ki ga je mogoče rešiti z uporabo interaktivnega mehkega postopka odločanja. Investitorjeve preference določajo optimalno večkriterijsko rešitev glede na alternativne scenarije.
Keywords:embedding problem, fuzzy optimization, fuzzy banach space, portfolio selection


Collection

This document is a part of these collections:
  1. Organizacija

Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica