文章基本信息

标题：Using Adaptive Neural-Fuzzy Inference Systems (ANFIS) for Demand Forecasting and an Application
其他标题：Uyarlamalı Sinirsel Bulanık Çıkarım Sisteminin (ANFIS) Talep Tahmini İçin Kullanımı ve Bir Uygulama
本地全文：下载
作者：Onur DOĞAN
期刊名称：Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
印刷版ISSN：1302-504X
电子版ISSN：2147-7973
出版年度：2016
卷号：31
期号：1
DOI：10.24988/deuiibf.2016311513
语种：English
出版社：Dokuz Eylül University
摘要：Due to the rapid increase in global competition among organizations and companies, rational approaches in decision making have become indispensable for organizations in today’s world. Establishing a safe and robust path through uncertainties and risks depends on the decision units’ ability of using scientific methods as well as technology. Demand forecasting is known to be one of the most critical problems in organizations. A company which supports its demand forecasting mechanism with scientific methodologies could increase its productivity and efficiency in all other functions. New methods, such as fuzzy logic and artificial neural networks are frequently being used as a decision-making mechanism in organizations and companies recently. In this study, it is aimed to solve a critical demand forecasting problem with ANFIS. In the first phase of the study, the factors which impact demand forecasting are determined, and then a database of the model is established using these factors. It has been shown that ANFIS could be used for demand forecasting.
其他摘要：Rekabet unsurunun günümüzde hızla artması, organizasyonların karar problemlerinde rasyonel davranmaları zorunluluğunu da beraberinde getirmiştir. Organizasyonların ve kurumların belirsizlik ve risk ortamında güvenle yol alabilmeleri, karar birimlerinde te
关键词：Fuzzy Logic;Demand Forecasting;ANFIS
其他关键词：Bulanık Mantık;Talep Tahmini;ANFI