Fuzzy Forecasting Based on Fuzzy Logical Relationships, Fuzzy-Trend Logical Relationship Groups, K-Means Clustering Algorithm, Similarity Measures and Particle Swarm Optimization Techniques

碩士 === 國立臺灣科技大學 === 資訊工程系 === 103 === In this thesis, we propose two new fuzzy forecasting methods to deal with forecasting problems based on fuzzy logical relationships, fuzzy-trend logical relationship groups, K-means clustering algorithm, similarity measures and particle swarm optimization (PSO)...

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Bibliographic Details
Main Authors: Wen-Shan Jian, 簡文珊
Other Authors: Shyi-ming Chen
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/54195019537890008557