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Author: Stelios H. Zanakis
Publisher: Springer Science & Business Media
ISBN: 1475749198
Category : Business & Economics
Languages : en
Pages : 484
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Book Description
This chapter describes a study conducted at the Swinburne University of Technology in Australia, in their School of Business. The study was to explore the applicability of a judgment-analytic decision support system to the assessment of the likelihood of an applicant being selected for admission to the School's Graduate Certificate in Business Administration (GCBA) program. The likelihood of a program administrator selecting a particular applicant is directly linked to the assessment of the likelihood of that applicant's success in the GCBA program. The purpose of this study, in effect, was to analyze the administrative judgment process in assessment of an applicant's likelihood of success in the program. THE PROCESS OF HUMAN JUDGMENT Human judgment is a process through which an individual uses social infonnation to make decisions. The social infonnation is obtained from an individual's environment and is interpreted through the individual's cognitive image of the environment. The. cognitive image provides a representation of the environment based on past experiences and training, and essentially predisposes the person to respond to social infonnation in predictable ways. An individual's policies or beliefs about the environment represent these patterns. Human judgments are based then upon one's interpretation of available infonnation. They are probability statements about one's environment and how one reacts to it. This condition leads to the human judgment process being inherently limited. It is fundamentally a covert process. It is seldom possible for an individual to accurately describe his or her judgment process accurately.
Author: Stelios H. Zanakis
Publisher: Springer Science & Business Media
ISBN: 1475749198
Category : Business & Economics
Languages : en
Pages : 484
Get Book Here
Book Description
This chapter describes a study conducted at the Swinburne University of Technology in Australia, in their School of Business. The study was to explore the applicability of a judgment-analytic decision support system to the assessment of the likelihood of an applicant being selected for admission to the School's Graduate Certificate in Business Administration (GCBA) program. The likelihood of a program administrator selecting a particular applicant is directly linked to the assessment of the likelihood of that applicant's success in the GCBA program. The purpose of this study, in effect, was to analyze the administrative judgment process in assessment of an applicant's likelihood of success in the program. THE PROCESS OF HUMAN JUDGMENT Human judgment is a process through which an individual uses social infonnation to make decisions. The social infonnation is obtained from an individual's environment and is interpreted through the individual's cognitive image of the environment. The. cognitive image provides a representation of the environment based on past experiences and training, and essentially predisposes the person to respond to social infonnation in predictable ways. An individual's policies or beliefs about the environment represent these patterns. Human judgments are based then upon one's interpretation of available infonnation. They are probability statements about one's environment and how one reacts to it. This condition leads to the human judgment process being inherently limited. It is fundamentally a covert process. It is seldom possible for an individual to accurately describe his or her judgment process accurately.
Author: Ahti Salo
Publisher: Springer Science & Business Media
ISBN: 1441999434
Category : Business & Economics
Languages : en
Pages : 410
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Book Description
Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level.
Author: Cengiz Kahraman
Publisher: Springer Science & Business Media
ISBN: 0387768130
Category : Computers
Languages : en
Pages : 591
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Book Description
This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.
Author: Shusaku Tsumoto
Publisher: Springer
ISBN: 3540259295
Category : Computers
Languages : en
Pages : 871
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Book Description
In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
Author: James F. Peters
Publisher: Springer
ISBN: 3540320164
Category : Computers
Languages : en
Pages : 384
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Book Description
Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Thomas Menkhoff
Publisher: World Scientific
ISBN: 9814466263
Category : Business & Economics
Languages : en
Pages : 394
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Book Description
The field of knowledge for development now occupies a top position on the agenda of all Asian governments as well as large development organizations. This book reflects this mega-trend of development towards KBEs (Knowledge Based Economies). For this 2nd edition all chapters have been thoroughly edited and data, tables and graphs have been updated to reflect the latest available statistics. Trends have been re-evaluated and adjusted to reflect recent developments in the fast-moving scene of knowledge governance and knowledge management.
Author: Alireza Alinezhad
Publisher: Springer Nature
ISBN: 3030150097
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
This book presents 27 methods of the Multiple Attribute Decision Making (MADM), which are not discussed in the existing books, nor studied in details, using more applications. Nowadays, decision making is one of the most important and fundamental tasks of management as an organizational goal achievement that depends on its quality. Decision making includes the correct expression of objectives, determining different and possible solutions, evaluating their feasibility, assessing the consequences, and the results of implementing each solution, and finally, selecting and implementing the solution. Multiple Criteria Decision Making (MCDM) is sum of the decision making techniques. MCDM is divided into the Multiple Objective Decision Making (MODM) for designing the best solution and MADM for selecting the best alternative. Given that the applications of MADM are mostly more than MODM, wide various techniques have been developed for MADM by researchers over the last 60 years, and the current book introduces some of the other new MADM methods.
Author: Sebnem Yilmaz Balaman
Publisher: Academic Press
ISBN: 0128142790
Category : Science
Languages : en
Pages : 259
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Book Description
Decision-Making for Biomass-Based Production Chains: The Basic Concepts and Medothologies presents a comprehensive study of key-issues surrounding the integration of strategic, tactical and operational decision levels for supply chains in the biomass, biofuels and biorefining sectors. Comprehensive sections cover biomass resources, harvesting, collection, storage and distribution systems, along with the necessary technical and technological background of production systems. In addition, the basics of decision-making, problems and decision levels encountered in design, management and operation phases are covered. Case studies are supplied in each chapter, along with a discussion and comparative analysis of topics. The book presents a clear vision of advances in the field. Graduate students and those starting in this line of research will also find the necessary information on how to model this kind of complex system. Finally, this comprehensive resource can be used as a guide for non-expert industry decision-makers and government policymakers who need a thorough overview on the industry. - Examines analytic methodologies for complex decision-making when designing, deploying and managing biomass and bio-based products supply chains - Includes real-life examples of main sustainability indicators, standards and certification schemes from the European Union, United States and worldwide - Explores the progress of decision-making procedures to provide a detailed perspective for effective selection of the most reliable solutions for each kind of problem - Provides detailed, in-depth analyses of various models and frameworks for their implementation, challenges and solutions - Presents multi-criteria and multi-objective decision-making and modeling approaches, including mathematical modeling, simulation-based modeling, and artificial intelligence-based modeling
Author: Tuomas Kuokkanen
Publisher: Routledge
ISBN: 1317530241
Category : Law
Languages : en
Pages : 260
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Book Description
Bringing together contributions from diplomats, UN agency officials, lawyers and academics, this book provides insight into the evolution of international environmental law, diplomacy and negotiating techniques. Based on first-hand experiences and extensive research, the chapters offer a blend of practice and theory, history and analysis, presenting a range of historical episodes and nuances and drawing lessons for future improvements to the processes of law-making and diplomacy. The book represents a synthesis of the most important messages to emerge from the annual course on Multilateral Environmental Agreements, delivered to diplomats and negotiators from around the world for the last decade by the University of Eastern Finland and the United Nations Environment Programme. The book will be of interest as a guide for negotiators and as a supplementary textbook and a reference volume for a wide range of students of law and environmental issues.
