Uncertainty Management with Fuzzy and Rough Sets : Recent Advances and Applications
Uncertainty Management with Fuzzy and Rough Sets : Recent Advances and Applications
edited by Rafael Bello, Rafael Falcon, José Luis Verdegay.
- 1 recurso en línea (XXIX, 413 páginas) 154 ilustraciones,80 ilustraciones a color
- Studies in Fuzziness and Soft Computing 377 1434-9922 Intelligent Technologies and Robotics (Springer-42732) .
A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis -- Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interest -- Fully Fuzzy Linear Programming Model For the Berth Allocation Problem with Two Quays -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- Fuzzy cognitive maps for evaluating software usability -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis.
This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.
9783030104634
10.1007/978-3-030-10463-4 doi
Conjuntos difusos
QA248.5 / 2019 EB
A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis -- Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interest -- Fully Fuzzy Linear Programming Model For the Berth Allocation Problem with Two Quays -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- Fuzzy cognitive maps for evaluating software usability -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis.
This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.
9783030104634
10.1007/978-3-030-10463-4 doi
Conjuntos difusos
QA248.5 / 2019 EB