Lecture Notes in Networks and Systems

Vol. 15. Springer, 2018.

Under the general editorship: J. Kacprzyk

The series “Lecture Notes in Networks and Systems” publishes the latest develop- ments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.

Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.

The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.

The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.

Chapters

A credit risk model based on contour subspaces for decision support systems in loan granting

Romanyuk K., , in: Lecture Notes in Networks and SystemsVol. 15.: Springer, 2018. P. 783–793.

Credit risk management is of considerable importance for banks, and the most common credit risk models are based on combining client’s private information with credit terms. However, if credit terms are an integral part of initial calculations, then results have to be recalculated for every alteration of credit terms. Thus, banks obtain ‘one-shot’ results from ...

Added: November 19, 2017

Keywords: искусственный интеллект, интеллектуальные системы, artificial intelligence, Intelligent Systems