一个强大的算法和集成方法,以区间值的模糊超软集和OOPCS为房地产追求
Muhammad Arshad1, Muhammad Saeed1, Atiqe Ur Rahman1
1Department of Mathematics, University of Management and Technology, Lahore, Pakistan.
PeerJ. Computer science
|July 6, 2023
概括
选择一个家是简单的,有一个新的计算决策支持系统. 该系统使用加权产品机制和间隔估值的模糊超软集来有效排名住房选择.
科学领域:
- 计算智能是一种计算智能.
- 决策科学科学 决策科学
- 房地产分析 房地产分析
背景情况:
- 由于许多相互矛盾的因素,选择房屋是复杂的,往往导致缺乏经验的个人做出糟糕的选择.
- 现有的决策方法可能无法充分处理住宅偏好的不确定性和多方面的性质.
- 需要一种计算方法来帮助用户做出专家质量的住所选择决策.
研究的目的:
- 通过加权产品机制开发住宅优先级的决策支持系统.
- 引入和应用区间估值模糊超软集 (IVFHS-set) 作为一种用于不确定性处理的新型数学工具.
- 为了提出一个修改后的决策策略,OOPCS,基于TOPSIS的间隔值模糊超软集.
主要方法:
- 构建一个居住选择决策支持系统的实证程序.
- 根据专家推出的要求,为房屋入围做出加权产品机制.
- 利用区间估值的模糊超软集及其多参数近似运算符.
- 开发和应用OOPCS决策策略,对TOPSIS进行修改.
主要成果:
- 标准化的产品策略有效地排列住房替代品,帮助用户选择.
- 该IVFHS套件为管理不确定性下的复杂决策提供了一个强大的框架.
- 拟议的OOPCS战略在现实世界多标准决策场景中证明了效率和有效性.
结论:
- 开发的决策支持系统,利用加权产品和先进的模糊集合理论,增强了家庭选择过程.
- IVFHS-set为复杂的决策问题提供了一种强大的新数学方法.
- 在实际应用中,OOPCS战略显示了改善多标准决策的前景.
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