Evidence map›Paper›PMID 38352792›Full record

ArticleHeliyon2024

A historical review and analysis on MOORA and its fuzzy extensions for different applications.

Ramanpreet Singh, Vimal Kumar Pathak, Rakesh Kumar, Mithilesh Dikshit, Amit Aherwar, Vedant Singh, Tej Singh

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  5. Optimal selection of SiC and TiOScientific reports · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ramanpreet SinghDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
Vimal Kumar PathakDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
Rakesh KumarDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
Mithilesh DikshitDepartment of Mechanical & Aero-Space Engineering, Institute of Infrastructure, Technology, Research and Management, Ahmedabad, Gujarat, 380026, India.
Amit AherwarDepartment of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India.
Vedant SinghAmrita School of Business, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, India.
Tej SinghSavaria Institute of Technology, Faculty of Informatics, ELTE Eötvös Loránd University, Budapest 1117, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria and sets of preferences. An efficient and systematic literature review of these methods is needed to maintain their application in distinctive domains. To this end, this paper presents a comprehensive and systematic literature survey on "multi-objective optimization by ratio analysis" (MOORA) method and its fuzzy extensions developed and discussed in recent years. This review includes articles categorized based on the publication name, publishing year, journal name, type of applications, and type of fuzzy extensions. In addition, this review will enhance the understanding of practitioners and decision-makers on the MOORA method, its development, fuzzy hybridization, different application areas, and future work. The study revealed that the MOORA technique was predominantly used with the TOPSIS approach, followed by the AHP and COPRAS methods. Furthermore, 76.28 % use single and hybridization approaches among all MOORA studies, while 23.72 % use MOORA in a fuzzy environment.

Indexed as

Decision makingFuzzy hybridizationMOORAMulti-objective optimization

Identifiers

PMID38352792
PMCPMC10861981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.