Panoramic Big Data Cloud-based Processing: New Theories and Methods for Data-driven Panoramic Cloud Segmentation (EPUB)

[LeeAndro]

English | 2019 | ISBN: N/A | ASIN: B07SJXM93W | 260 pages | EPUB | 5.21 Mb

Market sntation is a multicriterion problem.​

This dissertation addresses the multicriterion nature of market sntation with a new unified sntation model that is derived from a multiobjective conceptual framework. The unified model elegantly solves the intrinsic antagonistic problem of market sntation by generating a set of Pareto optimal solutions that represent different tradeoffs among multiple conflicting objectives. This dissertation develops an innovative implementation named Multicriterion Market Sntation using Evolutionary Algorithm (MMSEA). Based on multiobjective evolutionary algorithms, MMSEA overcomes many limitations and disadvantages of existing methods by optimizing multiple objectives simultaneously, searching for globally optimal solutions and generating a set of Pareto optimal solutions. It also suggests the interesting solutions based on the geometric characteristics of Pareto front. The method was applied to customer value and benefit sntation for the cell phone service market (a descriptive sntation model) and customer response sntation for a national retailer (two predictive sntation models). The empirical evaluation shows that the proposed unified market sntation model and solution techniques provide the decision makers with many insights and enhanced flexibility that are missing in existing market sntation methods.



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