1.

Record Nr.

UNINA9910484171803321

Titolo

Progress in Intelligent Decision Science : Proceeding of IDS 2020 / / edited by Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-66501-1

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XI, 989 p. 293 illus., 194 illus. in color.)

Collana

Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1301

Disciplina

658.403

Soggetti

Computational intelligence

Control engineering

Operations research

Machine learning

Computational Intelligence

Control and Systems Theory

Operations Research and Decision Theory

Machine Learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Identification of Sport News in Turkish Tweets using Deep Learning Architectures -- Real-time News Grouping: Detecting the Same-content News on Turkish News Stream -- Statistical Analysis of Behavioural Intention Towards Private Umbilical Cord Blood Banking -- Improved Weighted Random Forest for Classification Problems -- A new Combination Method for Fuzzy Optimal Control -- Smart Room Temperature Controller IoT System -- Audio to Video: Generating a Talking Fake Agent -- Cluster-Based Monitoring and Location Estimation for Crowd Counting -- Genetic Algorithms and Neural Networks by Data Mining -- A new solution for the generalized shortest path problem -- An extension of DEMATEL under Pythagorean fuzzy environment -- Multi-Objective Genetic Algorithm and Interpolation Based Nonlinear Control Model -- The Design of a Novel Torque Wrench Based on TRIZ Decision Procedures -- Solving Linear Systems based on Z-numbers -- Z-numbers for uncertainty



formulation.

Sommario/riassunto

This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.