.png){kind=icon}
返回
Decision Making With an Interpretive Structural Modeling Method Using a DNA-Based Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1109/TNB.2009.2023788.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A novel method of interpretive structural modeling (ISM) using a DNA-based algorithm is proposed in this paper. ISM is commonly used when the current technology and its application to business administration, industrial and systems engineering, organizational behavior, etc., concern complicated or problematic issues, or situations among an element set of the given problem context for making decisions. When structuring a problem with a large number of elements in an ISM process, the crossings among elements should be minimized. This computationally complex minimization is NP-complete. The proposed algorithm describes how to calculate complex relations among elements to create a hierarchically restructured digraph. This paper also presents a new approach for applying a biological method to ISM to measure the efficiency of the algorithm in calculating a large number of elements for decision making.
Keyword:
Decision making
DNA-based algorithm
hierarchically restructured digraph
interpretive structural modeling (ISM)
splicing operation
期刊
IF:
4.4
论文数:
1.4K
被引数:
2.5K
机构
引用论文
.png){kind=icon}
RENAL OUTCOMES OF EMPAGLIFLOZIN IN PATIENTS WITH HEART FAILURE: A SYSTEMATIC REVIEW AND META-ANALYSIS恩格列净在心力衰竭患者中的肾脏结局：一项系统评价和Meta分析
PREAI
分享收藏分享收藏Exposure to Bacterial and Fungal Aerosols: Microorganism Indices in A Waste-Sorting Plant in Poland
OAAI
OAAI分享收藏Quantum algorithms for biomolecular solutions of the satisfiability problem on a quantum machine
PREAI
分享收藏 没有更多内容
没有更多内容