给出了模糊最小生成树问题及其变体在不同准则下的结构化求解框架

IF 4.8 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Fuzzy Optimization and Decision Making Pub Date : 2021-02-15 DOI:10.1007/s10700-021-09352-1

Ke Wang, Yulin Zhou, Guichao Tian, M. Goh

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A structured solution framework for fuzzy minimum spanning tree problem and its variants under different criteria

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Fuzzy Optimization and Decision Making 工程技术-计算机：人工智能

CiteScore

11.50

自引率

10.60%

发文量

审稿时长

6 months

期刊介绍： The key objective of Fuzzy Optimization and Decision Making is to promote research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilitic uncertainty. The journal will cover all aspects of employing fuzzy technologies to see optimal solutions and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems is welcome. The goal is to help foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal will provide a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.