A distinctive symmetric analyzation of improving air quality using multi-criteria decision making method under uncertainty conditions
- Title
- A distinctive symmetric analyzation of improving air quality using multi-criteria decision making method under uncertainty conditions
- Creator
- Narayanamoorthy S.; Anuja A.; Kang D.; Kureethara J.V.; Kalaiselvan S.; Manirathinam T.
- Description
- This world has a wide range of technologies and possibilities that are available to control air pollution. Still, finding the best solution to control the contamination of the air without having any impact on humans is a complicated task. This proposal helps to improve the air quality using the multi-criteria decision making method. The decision to improve air quality is a challenging problem with todays technology and environmental development level. The multi-criteria decision making method is quite often faced with conditions of uncertainty, which can be tackled by employing fuzzy set theory. In this paper, based on an objective weighting method (CCSD), we explore the improved fuzzy MULTIMOORA approach. We use the classical Interval-Valued Triangular Fuzzy Numbers (IVTFNs), viz. the symmetric lower and upper triangular numbers, as the basis. The triangular fuzzy number is identified by the triplets; the lowest, the most promising, and the highest possible values, symmetric with respect to the most promising value. When the lower and upper membership functions are equated to one, we get the normalized interval-valued triangular fuzzy numbers, which consist of symmetric intervals. We evaluate five alternatives among the four criteria using an improved MULTIMOORA method and select the best method for improving air quality in Tamil Nadu, India. Finally, a numerical example is illustrated to show the efficiency of the proposed method. 2020, MDPI AG. All rights reserved.
- Source
- Symmetry, Vol-12, No. 11, pp. 1-30.
- Date
- 2020-01-01
- Publisher
- MDPI AG
- Subject
- Air pollution; Air quality improvement; Decision making; Fuzzy MULTIMOORA; MCDM; Symmetric
- Coverage
- Narayanamoorthy S., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Anuja A., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Kang D., Department of Industrial and Management Engineering, Inje University, 197 Inje-ro, Gimhae-si, 50834, Gyeongsangnam-do, South Korea; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Kalaiselvan S., Department of Social Work, SRMV College of Arts and Science, Coimbatore, 641020, Tamil Nadu, India; Manirathinam T., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 20738994
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Narayanamoorthy S.; Anuja A.; Kang D.; Kureethara J.V.; Kalaiselvan S.; Manirathinam T., “A distinctive symmetric analyzation of improving air quality using multi-criteria decision making method under uncertainty conditions,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16201.