Enhancement of Capacitated Transportation Problem in Fuzzy Environment
Joint Authors
Abd El-Wahed Khalifa, Hamiden
Kumar, Pavan
Alharbi, Majed G.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This research work aims to study a capacitated transportation problem (CTP) with penalty cost, supplies, and demands represented by hexagonal fuzzy numbers.
Based on ranking function, the supplies and demands are converted to the crisp form.
Through the use of the α‐level, the problem is converted into interval linear programming.
To optimize the interval objective function, we define the order relations represented by policy maker’s choice between intervals.
The maximization (minimization) problem considering the interval objective function is transformed to multiobjective optimization problem based on order relations introduced by the preference of policy makers between interval profits (costs).
A numerical example is given for illustration and to check the validity of the suggested approach.
American Psychological Association (APA)
Abd El-Wahed Khalifa, Hamiden& Kumar, Pavan& Alharbi, Majed G.. 2020. Enhancement of Capacitated Transportation Problem in Fuzzy Environment. Advances in Fuzzy Systems،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126406
Modern Language Association (MLA)
Abd El-Wahed Khalifa, Hamiden…[et al.]. Enhancement of Capacitated Transportation Problem in Fuzzy Environment. Advances in Fuzzy Systems No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1126406
American Medical Association (AMA)
Abd El-Wahed Khalifa, Hamiden& Kumar, Pavan& Alharbi, Majed G.. Enhancement of Capacitated Transportation Problem in Fuzzy Environment. Advances in Fuzzy Systems. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126406
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126406