A solid transportation problem in uncertain environment involving type-2 fuzzy variable

The main focus of this paper is to develop a new safety-based restricted fixed charge solid transportation problem with type-2 fuzzy parameter that minimizes both cost and time. Here we develop mainly two models, the first one has cost and time as type-2 fuzzy variables and the second one has cost,...

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Veröffentlicht in:Neural computing & applications Jg. 31; H. 9; S. 4903 - 4927
Hauptverfasser: Das, Amrit, Bera, Uttam Kumar, Maiti, Manoranjan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Springer London 01.09.2019
Springer Nature B.V
Schlagworte:
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Credibility
Data Mining and Knowledge Discovery
Fuzzy logic
Fuzzy sets
Image Processing and Computer Vision
Original Article
Parameters
Probability and Statistics in Computer Science
Programming
Reduction
Safety
Sensitivity analysis
Transportation problem
Solid transportation problem
Credibility measure
Critical value
Safety constraint
Weighted mean programming technique
Type-2 fuzzy variable
ISSN:0941-0643, 1433-3058
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Zusammenfassung:The main focus of this paper is to develop a new safety-based restricted fixed charge solid transportation problem with type-2 fuzzy parameter that minimizes both cost and time. Here we develop mainly two models, the first one has cost and time as type-2 fuzzy variables and the second one has cost, time and all the other parameters of the solid transportation problem as type-2 fuzzy variables. We also consider restrictions on the amount of transport goods. Both of these models are solved by two different techniques. First is using the usual credibility measure, and second is the generalized credibility measure. For the first technique, we use critical value (CV)-based reduction method to reduce a type-2 fuzzy set into a type-1 fuzzy set and then apply the centroid method to this reduced fuzzy set to find the corresponding crisp value. In the second case, a chance constrained programming model based on generalized credibility has been developed with the help of CV-based reduction method. The equivalent parametric programming problem in deterministic form is then solved under the weighted mean programming technique framework, the global criteria method and with the help of LINGO 13.0 software. Lastly, we have provided two real-life-based numerical examples to illustrate the models and also validate the results with the existing work. Some sensitivity analyses for the models are also presented with some logical comments. Finally the effects of total cost and time due to the changes of credibility levels of cost, time, demand, source, conveyance and safety are discussed.
Bibliographie:ObjectType-Article-1
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ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-018-03988-8