Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable
Authors
Keywords
-
Journal
SOFT COMPUTING
Volume 25, Issue 24, Pages 15083-15114
Publisher
Springer Science and Business Media LLC
Online
2021-11-25
DOI
10.1007/s00500-021-06371-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Advances in Sine Cosine Algorithm: A comprehensive survey
- (2021) Laith Abualigah et al. ARTIFICIAL INTELLIGENCE REVIEW
- The Arithmetic Optimization Algorithm
- (2021) Laith Abualigah et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Aquila Optimizer: A novel meta-heuristic optimization algorithm
- (2021) Laith Abualigah et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions
- (2020) Omar Abu Arqub et al. SOFT COMPUTING
- Fixed charge 4D-TP for a breakable item under hybrid random type-2 uncertain environments
- (2020) Sukhendu Bera et al. INFORMATION SCIENCES
- Extending the solid step fixed-charge transportation problem to consider two-stage networks and multi-item shipments
- (2019) Hosna Mollanoori et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A gamma type-2 defuzzification method for solving a solid transportation problem considering carbon emission
- (2018) Dipanjana Sengupta et al. APPLIED INTELLIGENCE
- Taguchi-factorial type-2 fuzzy random optimization model for planning conjunctive water management with compound uncertainties
- (2017) C.X. Wang et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Defuzzification and application of trapezoidal type-2 fuzzy variables to green solid transportation problem
- (2017) Amrit Das et al. SOFT COMPUTING
- Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems
- (2016) Omar Abu Arqub et al. SOFT COMPUTING
- Multi-item solid transportation problem with type-2 fuzzy parameters
- (2015) Pradip Kundu et al. APPLIED SOFT COMPUTING
- Reduction methods of type-2 uncertain variables and their applications to solid transportation problem
- (2015) Lixing Yang et al. INFORMATION SCIENCES
- A fixed-charge transportation problem in two-stage supply chain network in Gaussian type-2 fuzzy environments
- (2015) Sutapa Pramanik et al. INFORMATION SCIENCES
- Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations
- (2015) Omar Abu Arqub NEURAL COMPUTING & APPLICATIONS
- An improved evolutionary algorithm for the two-stage transportation problem with fixed charge at depots
- (2015) Herminia I. Calvete et al. OR SPECTRUM
- Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
- (2015) Omar Abu Arqub et al. SOFT COMPUTING
- Fuzzy stochastic solid transportation problem using fuzzy goal programming approach
- (2014) Pravash Kumar Giri et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
- (2014) Omar Abu Arqub et al. INFORMATION SCIENCES
- Fixed charge transportation problem with type-2 fuzzy variables
- (2013) Pradip Kundu et al. INFORMATION SCIENCES
- Methods of critical value reduction for type-2 fuzzy variables and their applications
- (2010) Rui Qin et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Type-2 fuzzy variables and their arithmetic
- (2009) Zhi-Qiang Liu et al. SOFT COMPUTING
- An efficient centroid type-reduction strategy for general type-2 fuzzy logic system
- (2007) F LIU INFORMATION SCIENCES
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started