Scholarlink

<p>This article, a new Takagi–Sugeno–Kang (TSK) model has been introduced for intuitionistic environments, building upon existing fuzzy TSK models. The proposed model generates inference relationships using historical data or past experiences and offers new solutions via IF-THEN rules for future events. The intuitionistic fuzzy TSK model is formulated with nonlinear systems and enhanced by incorporating <i>t</i> and <i>s</i> norms, improving its solution capabilities. Additionally, the model is defined for <i>n</i>-input systems, and its practical applicability is demonstrated through a two-input model in the domain of greenhouse control system in agriculture aims to increase agricultural productivity and optimize conditions in greenhouses.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intuitionistic fuzzy Takagi–Sugeno–Kang non-linear inference system and its applications to greenhouse control system in agriculture

  • 期刊论文

  • 发表日期：

    2025年8月2日

查看全文
  • Vakkas Uluçay,
  • İrfan Deli,
  • Zeynep Başer

摘要

This article, a new Takagi–Sugeno–Kang (TSK) model has been introduced for intuitionistic environments, building upon existing fuzzy TSK models. The proposed model generates inference relationships using historical data or past experiences and offers new solutions via IF-THEN rules for future events. The intuitionistic fuzzy TSK model is formulated with nonlinear systems and enhanced by incorporating t and s norms, improving its solution capabilities. Additionally, the model is defined for n-input systems, and its practical applicability is demonstrated through a two-input model in the domain of greenhouse control system in agriculture aims to increase agricultural productivity and optimize conditions in greenhouses.