Autonomous driving paper index

Integrating Artificial Intelligence (AI) and Fuzzy Multi - Criteria Decision-Making for Strategic Organisational Performance Optimization

2026-08-14 · Journal of Intelligent Decision Making and Information Science

autonomous driving

One-line summary

An autonomous driving research paper: Integrating Artificial Intelligence (AI) and Fuzzy Multi - Criteria Decision-Making for Strategic Organisational Performance Optimization.

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

The application of Artificial Intelligence (AI) in decision-making processes is changing the way organizations approach and make decisions.Organizations are increasingly turning to Artificial Intelligence (AI) to analyze complex data, detect trends, predict outcomes, and consider various options in their decision-making process. Organisation performance assessment, however, encompasses numerous both qualitative and quantitative criteria, uncertainty, conflicting priorities of management and imprecise expert opinions – which cannot be fully captured by conventional decision making techniques. This study presents a new AI assisted Fuzzy Multi-Criteria Decision-Making (F-MCDM) model to assess the performance of an organization and to assist in making strategic management decisions. The proposed framework is based on the use of AI-based analytical capabilities and fuzzy decision-making techniques that can handle the vagueness of managerial assessments and prioritize strategic options in a systematic manner. The relative importance of organisational performance criteria are determined by using the fuzzy Analytic Hierarchy Process (FAHP), and the fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the strategic alternatives. It looks at aspects such as financial performance, operational efficiencies, innovation capability, customer orientation, human-resource effectiveness, and strategic adaptability as well as digital capability. The aim of the proposed approach is to enhance the decision consistency, transparency of decision making, strategic alignment and managerial responsiveness. The study illustrates that AI and fuzzy MCDM are able to offer an intelligent decision-support mechanism to organisations in an uncertain and competitive environment.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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