Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A classification approach using multi-layered neural networks
Decision Support Systems - Special issue on neural networks for decision support
Seven methods for transforming corporate data into business intelligence
Seven methods for transforming corporate data into business intelligence
Neural network applications in business: a review and analysis of the literature (1988-95)
Decision Support Systems
Implementation of fuzzy logic systems and neural networks in industry
Computers in Industry
Computers in Industry - special issue ASI'94 selection of papers presented at the advanced summer institute “computer integrated manufacturing and industrial automation” Patras, Greece, 26 June—1 July 1994
Neural network applications in finance: a review and analysis of literature (1990-1996)
Information and Management
Neuro-fuzzy systems for function approximation
Fuzzy Sets and Systems - Special issue on analytical and structural considerations in fuzzy modeling
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
Improved supply chain management based on hybrid demand forecasts
Applied Soft Computing
Computers and Industrial Engineering
Intelligent supply chain management using adaptive critic learning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Design of fuzzy systems using neurofuzzy networks
IEEE Transactions on Neural Networks
A hybrid Grey & ANFIS approach to bullwhip effect in supply chain networks
WSEAS TRANSACTIONS on SYSTEMS
A soft computing method for detecting lifetime building thermal insulation failures
Integrated Computer-Aided Engineering
Expert Systems with Applications: An International Journal
Design of real-time fuzzy bus holding system for the mass rapid transit transfer system
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Forecasting model selection through out-of-sample rolling horizon weighted errors
Expert Systems with Applications: An International Journal
Neural network ensemble operators for time series forecasting
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
An organization has to make the right decisions in time depending on demand information to enhance the commercial competitive advantage in a constantly fluctuating business environment. Therefore, estimating the demand quantity for the next period most likely appears to be crucial. This work presents a comparative forecasting methodology regarding to uncertain customer demands in a multi-level supply chain (SC) structure via neural techniques. The objective of the paper is to propose a new forecasting mechanism which is modeled by artificial intelligence approaches including the comparison of both artificial neural networks and adaptive network-based fuzzy inference system techniques to manage the fuzzy demand with incomplete information. The effectiveness of the proposed approach to the demand forecasting issue is demonstrated using real-world data from a company which is active in durable consumer goods industry in Istanbul, Turkey.