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心理学中的整数编程:对未来研究的回顾和方向
Michael Brusco1, Douglas Steinley2, Ashley L Watts3
1Department of Business Analytics, Information Systems, and Supply Chain, College of Business, Florida State University, Florida, Tallahassee, USA.
整数编程 (IP) 为心理学提供了一个强大的数学建模方法,扩展了线性编程 (LP). 这一综述强调了IP的重点.
科学领域:
- 数学心理学 数学心理学
- 计算社会科学 计算社会科学
背景情况:
- 心理学研究广泛使用多变量统计,但不经常使用诸如整数编程 (IP) 等数学建模技术.
- 整数编程 (IP) 是一种优化方法,通过要求决策变量具有整数值来扩展线性编程 (LP).
研究的目的:
- 提供对整数编程 (IP) 方法学的历史概述.
- 审查知识产权在各种心理学领域的现有应用.
- 确定知识产权在新兴心理学领域的潜在未来应用.
主要方法:
- 综述整数编程 (IP) 的历史和心理学中的应用.
- 使用知识产权用于对药物滥用障碍研究中的受访者进行聚类的示例.
主要成果:
- 整数编程 (IP) 在心理学中具有成功应用的历史,包括测试组装,集群分析,分类,序列化和单维缩放.
- 一个例子证明了IP在基于药物滥用障碍数据的个人聚类方面的实用性.
结论:
- 整数编程 (IP) 是心理学研究中一个有价值的,尽管未被充分利用的工具.
- 知识产权在网络心理测量等新兴领域的应用方面表现有前途.
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