In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role.
In the past, technological as well as economic forces dominated the evolution of industrial structures: these factors have been treated extensively in numerous studies.
These proceedings include papers presented at the VII-th Internatio- nal Conference on Multiple Criteria Decision Making which was held in Kyoto/Japan on August 18-22, 1986.
The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g.
This study has grown out of a part of the author's thesis "e;Some Simple and Bulk Queueing Systems: A Study of Their Transient Behavior"e; submitted to the University of Western Australia (1964) and a course on Queueing Theory given to graduate students in the Operations Research Group of Case Institute of Technology, Cleveland, Ohio.
The following monograph deals with the approximate stochastic behavior of a system consisting of a sequence of servers in series with finite storage between consecutive servers.
The papers appearing in this Volume were selected from a collec- tion of papers presented at the Internationa~ Symposium on Extrema~ Methods and Systems Ana~ysis on the Occasion of Professor A.
This collection of articles aspires to be a permanent record of ideas which are likely to become important determinants in the future of management sciences.
This book contains a selection of the papers presented at the symposium on "e;Decision processes in Economics"e; which was held in Modena (Italy) on 9-10 October 1989.
This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach.
The Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc.
Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic.
The study of complementarity problems is now an interestingmathematical subject with many applications in optimization,game theory, stochastic optimal control, engineering,economics etc.
Im Zentrum dieses Buches steht die Frage, wie ethische Entscheidungen in modernen Organisationen und Unternehmen heute sinnvoll organisiert werden können.
This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under uncertainty.
'In a world full of leadership advice, this book gives new managers what they actually need: practical tools, clarity of vision and the courage to lead their own way.
This book constitutes the refereed proceedings of the 25th International Conference on Group Decision and Negotiation, GDN 2025, which took place in Zaragoza, Spain, during June 2025.
This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems.