Investment decision making under fuzziness

Cengiz Kahraman

doi:10.1108/17410391111106266

Investment decision making under fuzziness

Cengiz Kahraman^*

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Purpose: The purpose of this paper is to discuss the applicability of investment decision-making techniques under fuzziness. Design/methodology/approach: The paper explains how fuzzy sets can be used in investment decision making. Findings: It was found that any classical investment analysis technique can be converted easily to a fuzzy case. Originality/value: The paper indicates the necessity for usage of the fuzzy set theory in case of incomplete information.

Original language	English
Pages (from-to)	126-129
Number of pages	4
Journal	Journal of Enterprise Information Management
Volume	24
Issue number	2
DOIs	https://doi.org/10.1108/17410391111106266
Publication status	Published - Feb 2011

Keywords

Decision making
Fuzzy logic
Investments
Probability theory

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10.1108/17410391111106266

Cite this

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abstract = "Purpose: The purpose of this paper is to discuss the applicability of investment decision-making techniques under fuzziness. Design/methodology/approach: The paper explains how fuzzy sets can be used in investment decision making. Findings: It was found that any classical investment analysis technique can be converted easily to a fuzzy case. Originality/value: The paper indicates the necessity for usage of the fuzzy set theory in case of incomplete information.",

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AB - Purpose: The purpose of this paper is to discuss the applicability of investment decision-making techniques under fuzziness. Design/methodology/approach: The paper explains how fuzzy sets can be used in investment decision making. Findings: It was found that any classical investment analysis technique can be converted easily to a fuzzy case. Originality/value: The paper indicates the necessity for usage of the fuzzy set theory in case of incomplete information.

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KW - Fuzzy logic

KW - Investments

KW - Probability theory

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Investment decision making under fuzziness

Abstract

Keywords

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