ISJ Theoretical & Applied Science

 

 

 

www.T-Science.org

 

Information about the scientific conferences and journal

Schedule of conferences

Submit a report to the conference

Requirements to the article

Section

Indexing

Journal archive

Previous conferences

Tracing of postal items

The organizing Committee of Conference

Editorial Board

 

 

Journal Archive:
p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

ISJ Theoretical & Applied Science 04(24) 2015

ISPC The Combination of Technology & Education, Ostersund, Sweden

* Scientific Article *

Torabi M, Ghobadi M

INVESTMENT RANKINGS BASED ON TECHNICAL ANALYSIS BY FUZZY MCDM IN TEHRAN STOCK EXCHANGE.

Impact Factor 1.500

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS*04(24)1

DOI: http://dx.doi.org/10.15863/TAS.2015.04.24.1

Language: English

Citation: Torabi M, Ghobadi M (2015) INVESTMENT RANKINGS BASED ON TECHNICAL ANALYSIS BY FUZZY MCDM IN TEHRAN STOCK EXCHANGE. ISJ Theoretical & Applied Science 04 (24): 1-9. Soi: http://s-o-i.org/1.1/TAS*04(24)1 Doi: http://dx.doi.org/10.15863/TAS.2015.04.24.1

Pages: 1-9

Published: 30.04.2015

Abstract: There are a number of criteria for the investor to consider before making the final decision, including Overall Trend, Buying/Selling Pressure, Reward to Risk Ratio of a New Position and Potential entry levels for new long position, etc. When the investment strategies are evaluated from above aspects, it can be regarded as a fuzzy multi-criteria decision-making FMCDM problem. This research explains a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a non-additive fuzzy integral technique to evaluate technical analysts. Since investors cannot clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives, fuzziness is considered applicable. Consequently, this research uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic performance values, we can determine the relative importance of criteria and decide the best strategies. We also apply what is called a fuzzy measure and non-additive fuzzy integral technique to evaluate aquatic investment. In addition, we demonstrate that the non-additive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.

Key words: Investment Rankings, Technical Analysis, Fuzzy MCDM, Non-additive fuzzy integral.


 

 

 

 

 

 

E-mail:         T-Science@mail.ru

© «Theoretical &Applied Science»                      2013 г.