This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective.
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others.
Matrizen und Vektoren bilden eine wesentliche Grundlage vieler quantitativer Modelle und Methoden sowohl in der ökonomischen Forschung als auch in der industriellen Praxis.
This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, d.
Volume 95 of Advances in Protein Chemistry and Structural Biology focuses on advances in proteomic techniques and their application in biomedicine and pharmacology.
Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research as well as computational approaches for drug discovery and repurposing for cancer therapy.
This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems.
This book provides a comprehensive exploration of semiconductor supply chain localization, offering insights into the formulation of effective strategies and ways to enhance the competitiveness and sustainability of semiconductor manufacturers through supply chain localization.
This book presents a rich collection of studies on the analysis of sustainable development from a multiple criteria decision-making (MCDM) perspective, written by some of the most prominent authors in the field of MCDM/A.
This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS).
This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021.
This volume contains a selection of the best papers presented at the 8th International Conference on Industrial Engineering and Industrial Management, XX International Conference on Industrial Engineering and Operations Management, and International IIE Conference 2014, hosted by ADINGOR, ABEPRO and the IIE, whose mission is to promote links between researchers and practitioners from different branches, to enhance an interdisciplinary perspective of industrial engineering and management.
This book provides detailed guidance on how sustainability, in terms of the triple bottom line, can be developed in operations strategies via human resource management (HRM) and organizational practices such as teamwork, training and employee involvement.
Current Molecular Targets of Heterocyclic Compounds for Cancer Therapy discusses recently developed treatments based on molecular targets which are genetically altered in cancer cells and are essential for tumor development and survival.
This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties.
Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book.
This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites-such as large gathering places-through high-stake decision-making tasks.
The aim of Metaheuristics: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.
Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach.
Design, develop, and master efficient Power BI solutions for impactful business insightsKey FeaturesGet to grips with the fundamentals of Microsoft Power BI Combine data from multiple sources, create visuals, and publish reports across platformsUnderstand Power BI concepts with real-world use casesBook DescriptionMicrosoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.
Ask questions of your data and gain insights to make better business decisions using the open source business intelligence tool, MetabaseKey FeaturesDeploy Metabase applications to let users across your organization interact with itLearn to create data visualizations, charts, reports, and dashboards with the help of a variety of examplesUnderstand how to embed Metabase into your website and send out reports automatically using email and SlackBook DescriptionMetabase is an open source business intelligence tool that helps you use data to answer questions about your business.
This book contributes a basic framework for and specific insights into interdisciplinary connections between production, logistics, and traffic subsystems.