Search Results - subject:"Granular Computing"

Divide and conquer : a granular concept-cognitive computing system for dynamic classification decision making

Mi, Yunlong; Wang, Zongrun; Liu, Hui; Qu, Yi; Yu, Gaofeng; … - In: European journal of operational research : EJOR 308 (2023) 1, pp. 255-273

Persistent link: https://www.econbiz.de/10014283035

Granular computing and optimization model-based method for large-scale group decision-making and its application

Zheng, Yuanhang; Xu, Zeshui; Tian, Yuhang - In: Economic research 35 (2022) 1,5, pp. 5221-5252

Persistent link: https://www.econbiz.de/10014414179

Concept-cognitive computing system for dynamic classification

Mi, Yunlong; Quan, Pei; Shi, Yong; Wang, Zongrun - In: European journal of operational research : EJOR 301 (2022) 1, pp. 287-299

Persistent link: https://www.econbiz.de/10013207376

Mining clinical pathways using dual clustering

Tsumoto, Shusaku; Kimura, Tomohiro; Hirano, Shoji - In: The review of socionetwork strategies 15 (2021) 2, pp. 287-307

Persistent link: https://www.econbiz.de/10012662539

Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing

Pedrycz, Witold - In: European Journal of Operational Research 232 (2014) 1, pp. 137-145

The highly diversified conceptual and algorithmic landscape of Granular Computing calls for the formation of sound …

Persistent link: https://www.econbiz.de/10010871152

Allocation of information granularity in optimization and decision-making models : towards building the foundations of Granular Computing

Pedrycz, Witold - In: European journal of operational research : EJOR 232 (2014) 1, pp. 137-145

Persistent link: https://www.econbiz.de/10010224723

Granular Support Vector Machines Based on Granular Computing, Soft Computing and Statistical Learning

Tang, Yuchun - 2006

) is proposed to systematically and formally combine statistical learning theory, granular computing theory and soft … a Granular Computing based Predictive Data Modeling framework (GrC-PDM) with which we can create hybrid adaptive …

Persistent link: https://www.econbiz.de/10009463403

A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts

Cabrerizo, Francisco Javier; Herrera-Viedma, Enrique; … - In: European Journal of Operational Research 230 (2013) 3, pp. 624-633

operational and thus it has to be made usable though expressing it in terms of information granules. To do so, Granular Computing …

Persistent link: https://www.econbiz.de/10010679129

Information granulation and uncertainty measures in interval-valued intuitionistic fuzzy information systems

Huang, Bing; Zhuang, Yu-liang; Li, Hua-xiong - In: European Journal of Operational Research 231 (2013) 1, pp. 162-170

Information granulation and entropy are main approaches for investigating the uncertainty of information systems, which have been widely employed in many practical domains. In this paper, information granulation and uncertainty measures for interval-valued intuitionistic fuzzy binary granular...

Persistent link: https://www.econbiz.de/10010682489

AN AGENT DECISION SUPPORT MODULE BASED ON GRANULAR ROUGH MODEL

EL-GHAMRAWY, SALLY M.; ELDESOUKY, ALI I. - In: International Journal of Information Technology & … 11 (2012) 04, pp. 793-820

A multi-agent system (MAS) is a branch of distributed artificial intelligence, composed of a number of distributed and autonomous agents. In a MAS, effective coordination is essential for autonomous agents to achieve their goals. Any decision based on a foundation of knowledge and reasoning can...

Persistent link: https://www.econbiz.de/10010569694