Hierarchical Fuzzy Logic and Application to Survivability
Abstract
Considerable interest has been shown in the last few decades in exploring the applications of fuzzy logic. The fuzzy logic approach is the basis for intelligent systems, which has become an increasing interest in complex problems. The objective of this paper is to explore the design of hierarchical systems and its applications to the survivability. Survivability has been a topic of interest for defense and security problems for over the last few decades. The interest has been increasing day-by-day because of the sophistication of the complex problems and the huge data involved with uncertain and imprecise human behavior. In intelligent systems, the classification is the main key element by which the target acquisition and identification can be achieved. Most of the key problems are tackled by classification and later determine the accuracy of the model. A number of models for the survivability of vehicles are available in literature. The most important model is the onion model given by the department of defense. This so-called onion structure is of interest to a large number of researchers. In this paper, the survivability problem is managed using multi-layer classification using hierarchical fuzzy logic. The algorithm to design the hierarchical fuzzy system for multi-layer classification is given. The given algorithm is yet to be implemented in real-life applications because no data is available due to security and nature of problems. It is hoped that this work of multi-layer classification using hierarchical fuzzy logic will go a long way in tackling the solutions of the survivability problems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 08, 2021
- Accession Number
- AD1124435
Entities
People
- Harpreet Singh
- Shashank Kamthan
- Thomas J. Meitzler
Organizations
- United States Army Tank Automotive Research, Development and Engineering Center