Conversation systems usually suffer from the challenge of knowledge management from multiple human experts. The current mechanism used in knowledge-based conversation system is always based on centralized servers, which may be problematic in terms of transparency and security. Blockchain solutions are currently being proposed improve the security and efficiency in different domains. However, there are various blockchain platforms with different characteristics, and conversation system implemented using blockchain platform is not in place yet. In this paper, we clearly identified the requirement analysis of knowledge-based conversation system and present a decision model for identify the best fitting blockchain platform for knowledge-based conversation system. In the proposed method, multiple measurements including Analytical Hierarchy Process (AHP), Fuzzy analytical hierarchy process (FAHP), and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) are utilized to analyze and create consistent result together, which can be used for the selection of blockchain platforms and improve the efficiency of the decision-making process.

对话系统通常遭受来自多个人类专家的知识管理的挑战。基于知识的对话系统中使用的当前机制始终基于集中式服务器，这在透明性和安全性方面可能会出现问题。当前提出了区块链解决方案，以提高不同领域的安全性和效率。但是，存在各种具有不同特征的区块链平台，并且尚没有使用区块链平台实现的对话系统。在本文中，我们清楚地确定了基于知识的对话系统的需求分析，并提出了一个决策模型，用于确定最适合基于知识的对话系统的区块链平台。在建议的方法中，