The fuzzy set theory introduced by Zadeh, 1965 is considered as one of the powerful tools in handling the uncertainty and vague concepts in a more practical way with great progress in every scientific research area. Fuzzy sets (FSs) have number of applications in different research fields such as engineering, computer sciences, arts, humanities, life sciences, mathematics, and health sciences and moreover, it has been extended to number of new types. Among all the extensions, intuitionistic fuzzy sets (IFSs) introduced by Atanassov, 1986 broadens the field of fuzzy sets in a reliable way by adding the third component called as Hesitancy index (π) along with the membership (µ) and non-membership (v) functions. For the decision-making problems, MCDM (Multi-criteria decision making) is considered as one of the appropriate weapons in finding the best alternative among the different criterion. The aim of present review paper is to provide a detailed analysis on the multi-criteria decision making techniques under the fuzzy and intuitionistic fuzzy set from the year 2011 to 2015. We also described how fast the role of fuzzy theory increases in solving the MCDM (multicriteria decision making) issues. In addition to this, we also systematically conduct a review on the different applications and methodologies of MCDM techniques such as AHP, PROMETHEE, ELECTRE, TOPSIS, VIKOR, and ANP etc.
Skip Nav Destination
,
,
,
Article navigation
9 May 2022
NATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCES AND MATHEMATICS: NCASM-20
24–25 September 2020
Rajpura, India
Research Article|
May 09 2022
Multi criteria decision making under the fuzzy and intuitionistic fuzzy environment: A review
Babita Sharma;
Babita Sharma
School of Electrical and Computer Science Engineering, Shoolini University
, Bajhol, Solan, H.P., India
Search for other works by this author on:
Suman;
Suman
b)
School of Electrical and Computer Science Engineering, Shoolini University
, Bajhol, Solan, H.P., India
Search for other works by this author on:
Namita Saini;
Namita Saini
School of Electrical and Computer Science Engineering, Shoolini University
, Bajhol, Solan, H.P., India
Search for other works by this author on:
Neeraj Gandotra
Neeraj Gandotra
a)
School of Electrical and Computer Science Engineering, Shoolini University
, Bajhol, Solan, H.P., India
a)Corresponding author: [email protected]
Search for other works by this author on:
Babita Sharma
Suman
b)
Namita Saini
Neeraj Gandotra
a)
School of Electrical and Computer Science Engineering, Shoolini University
, Bajhol, Solan, H.P., India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2357, 110003 (2022)
Citation
Babita Sharma, Suman, Namita Saini, Neeraj Gandotra; Multi criteria decision making under the fuzzy and intuitionistic fuzzy environment: A review. AIP Conf. Proc. 9 May 2022; 2357 (1): 110003. https://doi.org/10.1063/5.0080577
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Related Content
A comprehensive review on the Pythagorean fuzzy multi-criteria decision making and its applications
AIP Conf. Proc. (May 2022)
New picture fuzzy entropy in regarding to multi-criteria decision making application
AIP Conf. Proc. (May 2022)
Bezier curve modeling for intuitionistic fuzzy data problem
AIP Conf. Proc. (June 2016)
Cubic Bézier curve interpolation by using intuitionistic fuzzy control point relation
AIP Conf. Proc. (June 2018)
B-spline curve interpolation modeling using intuitionistic alpha cut for uncertainty data
AIP Conf. Proc. (March 2024)