Interval Valued Intuitionistic Fuzzy Investment Analysis: Application to CNC Lathe Selection

Cengiz Kahraman; Sezi Çevik Onar; Basar Öztayşi

doi:10.1016/j.ifacol.2016.07.707

Interval Valued Intuitionistic Fuzzy Investment Analysis: Application to CNC Lathe Selection

Cengiz Kahraman, Sezi Çevik Onar, Basar Öztayşi

Department of Industrial Engineering

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

10 Citations (Scopus)

Abstract

Incomplete and vague data can be successfully handled by the fuzzy set theory. Recently, the extensions of ordinary fuzzy sets have been extensively used in the literature because of their advantages. In this paper, we develop interval-valued intuitionistic fuzzy present worth analysis for the evaluation of CNC (computer numerical control) lathe investments. The developed analyses can handle the assessments of multiple experts through aggregation operators. A case study is also presented in this paper.

Original language	English
Pages (from-to)	1323-1328
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	49
Issue number	12
DOIs	https://doi.org/10.1016/j.ifacol.2016.07.707
Publication status	Published - 2016

Bibliographical note

Publisher Copyright:
© 2016

Keywords

Present worth
economic analysis
fuzzy sets
interval valued
intuitionistic
uncertainty

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ifacol.2016.07.707

Cite this

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abstract = "Incomplete and vague data can be successfully handled by the fuzzy set theory. Recently, the extensions of ordinary fuzzy sets have been extensively used in the literature because of their advantages. In this paper, we develop interval-valued intuitionistic fuzzy present worth analysis for the evaluation of CNC (computer numerical control) lathe investments. The developed analyses can handle the assessments of multiple experts through aggregation operators. A case study is also presented in this paper.",

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author = "Cengiz Kahraman and Onar, {Sezi {\c C}evik} and Basar {\"O}ztay{\c s}i",

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AU - Kahraman, Cengiz

AU - Onar, Sezi Çevik

AU - Öztayşi, Basar

PY - 2016

Y1 - 2016

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AB - Incomplete and vague data can be successfully handled by the fuzzy set theory. Recently, the extensions of ordinary fuzzy sets have been extensively used in the literature because of their advantages. In this paper, we develop interval-valued intuitionistic fuzzy present worth analysis for the evaluation of CNC (computer numerical control) lathe investments. The developed analyses can handle the assessments of multiple experts through aggregation operators. A case study is also presented in this paper.

KW - Present worth

KW - economic analysis

KW - fuzzy sets

KW - interval valued

KW - intuitionistic

KW - uncertainty

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JF - IFAC-PapersOnLine

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ER -

Interval Valued Intuitionistic Fuzzy Investment Analysis: Application to CNC Lathe Selection

Abstract

Bibliographical note

Keywords

UN SDGs

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