ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets

DOI10.2478/V10006-012-0059-9zbMath1292.90003OpenAlexW1991193647WikidataQ110565997 ScholiaQ110565997MaRDI QIDQ5403389

José Luis López-Cuadrado, Israel González-Carrasco, Ángel García-Crespo, Ricardo Colomo-Palacios

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-012-0059-9

zbMATH Keywords

fuzzy setrough setrecommender systemscrumwork package

Mathematics Subject Classification ID

Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of organizations, manpower planning in operations research (90B70) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)

Related Items (2)

A multi-agent brokerage platform for media content recommendation ⋮ ReSySTER

Uses Software

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Cites Work

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• Function approximation with complex neuro-fuzzy system using complex fuzzy sets -- a new approach
• A fuzzy multicriteria group decision making approach to select configuration items for software development
• Staffing a software project: A constraint satisfaction and optimization-based approach
• On classification with missing data using rough-neuro-fuzzy systems
• Rough sets
• Adaptive control scheme based on the least squares support vector machine network
• Fuzzy sets
• Genetic algorithms for project management

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