Hierarchical Decision Modeling PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Hierarchical Decision Modeling PDF full book. Access full book title Hierarchical Decision Modeling by Tugrul U. Daim. Download full books in PDF and EPUB format.

Hierarchical Decision Modeling

Hierarchical Decision Modeling PDF Author: Tugrul U. Daim
Publisher: Springer
ISBN: 3319185586
Category : Business & Economics
Languages : en
Pages : 342

Book Description
This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach. Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair. He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyalty among his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field. This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

Hierarchical Decision Modeling

Hierarchical Decision Modeling PDF Author: Tugrul U. Daim
Publisher: Springer
ISBN: 3319185586
Category : Business & Economics
Languages : en
Pages : 342

Book Description
This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach. Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair. He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyalty among his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field. This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

Software Implementation of Hierarchical Decision Modeling and Hierarchical Decision Modeling Sensitivity Analysis

Software Implementation of Hierarchical Decision Modeling and Hierarchical Decision Modeling Sensitivity Analysis PDF Author: Adnan Mahmood
Publisher:
ISBN:
Category :
Languages : en
Pages : 104

Book Description


Fuzzy Hierarchical Decision Modeling

Fuzzy Hierarchical Decision Modeling PDF Author: Michael Khader
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847305477
Category : Fuzzy decision making
Languages : en
Pages : 188

Book Description
According to several studies an inordinate number of business decisions fails. The analytical hierarchical process (AHP) is concerned with decomposing complex decisions into a set of factors and solutions. However, AHP has difficulties in handling uncertainty in decision information. This book addresses these deficiencies through developing a hybrid model based on AHP and fuzzy sets and logic. This model is capable of handling decisions with incomplete information and uncertain decision operating environment.

Multiattribute Decision Modeling Techniques

Multiattribute Decision Modeling Techniques PDF Author: Jonathan C. Fast
Publisher:
ISBN:
Category : Multiple criteria decision making
Languages : en
Pages : 72

Book Description
This research developed a taxonomy of decision modeling techniques and accomplished a comparative analysis of two techniques developed and used by the Air Force in the areas of personnel selection, job classification, and promotion. The two techniques, policy capturing and policy specifying, were shown to have several characteristics which allowed them to be aligned with existing decision analytical theory. A set of criteria for evaluating the usefulness of particular technique in a particular decision context was developed, and four techniques were selected for more detailed study and evaluation. The four were: policy capturing, policy specifying, Simple Multiattribute Rating Technique (SMART), and Hierarchical Additive Weighting Method (HAWM). The last two were, respectively, examples of utility assessment and hierarchical decision models. A panel of experts rated each technique over the set of 16 criteria, first without regard to decision context. The panel then rated the match between each of the four techniques and the need for particular criteria in each of three Air Force decision contexts: person-job match, promotion and research and development project prioritization. Results of the ratings are presented and suggestions made for enhancing the Air Force's ability to conduct decision analytical studies. (KR).

Hierarchical Generalization Models for Cognitive Decision-making Processes

Hierarchical Generalization Models for Cognitive Decision-making Processes PDF Author: Yun Tang
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This dissertation examines the applicability and plausibility of the hierarchical generalization modeling framework in the context of studies of behavioral decision-making. Two major experimental paradigms, the decision-from-description and decision-from-experience experiments, are extensively discussed with regard to the modeling of experimental data and the theoretical implication on the generalization of decision-making processes. The hierarchical generalization modeling framework demonstrates its suitability for these decision-making paradigms through simulation studies and secondary data analyses.

Decision Analysis

Decision Analysis PDF Author: Dundar F. Kocaoglu
Publisher: Wiley
ISBN: 9780470905357
Category : Technology & Engineering
Languages : en
Pages : 608

Book Description
Decision Analysis for Engineering and Technology Management is the first book to address the challenges of decision makers with applications to both engineering and technology management. The book provides practical illustrations of the application of decision analysis, rather than repeating existing theoretical material. Discussion on real-world objections and difficulties as well as evidence of the benefits of applying decision making principles in actual investment decision situations are provided. The book reviews decisions from two major areas: decisions with single criterion and those with multiple criteria. Within the single criterion coverage, decisions are then divided further into three sub-areas: decisions under certainty; under uncertainty, and under risk. Hierarchical models are also introduced to address multi criteria decisions. In addition, quantification of expert judgments is covered in this section. Finally, an organizational framework is provided as well as examples for decision making processes for product and technology development cases. Chapter coverage includes: single criterion decisions; multi criteria decisions; multi criteria decision making; MOGSA decision hierarchy; judgment quantification; priority weighting by pair wise comparisons; hierarchical decision models and applications; decision modeling; decision trees; decisions under risk; utility theory and applications; location selection; design selection; and strategy determination.

Decision Modeling in Policy Management

Decision Modeling in Policy Management PDF Author: Giampiero Beroggi
Publisher: Springer Science & Business Media
ISBN: 146155599X
Category : Business & Economics
Languages : en
Pages : 370

Book Description
The last decade has experienced major societal challenges at the intersection of technological systems and policy making. Prevalent examples are the liberalization of energy and telecommunications markets, the public aversion towards nuclear power plants, the development of high-speed trains, the debates about global warming and sustainability, the development of intelligent vehicle systems, and the controversies concerning the location of waste depositories, airports, and energy systems. These challenges, coupled with the call from industry for a systems-engineering oriented approach to policy analysis, motivated Delft University of Technology to launch the first European School of Systems Engineering, Policy Analysis. and Management (SEPA). The purpose was to educate engineering oriented policy analysts in bridging the gap between engineering systems and policy decision making processes, both for the public and private sector. Up to now, more than 500 first-year students and 30 Ph.D. students have enrolled in the program. In 1993, I set up a class called Quantitative Methods for Problem Solving which had to address the most relevant issues in decision making for policy management, such as linear and non-linear optimization, multiattribute utility theory, multicriteria decision making, concepts from game theory, outranking relations, and probabilistic influence diagrams.

Managerial Decision Modeling

Managerial Decision Modeling PDF Author: Nagraj (Raju) Balakrishnan
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501506315
Category : Business & Economics
Languages : en
Pages : 1009

Book Description
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941

Introduction to Hierarchical Bayesian Modeling for Ecological Data

Introduction to Hierarchical Bayesian Modeling for Ecological Data PDF Author: Eric Parent
Publisher: CRC Press
ISBN: 1584889195
Category : Mathematics
Languages : en
Pages : 429

Book Description
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They emphasize how hierarchical Bayesian modeling supports multidimensional models involving complex interactions between parameters and latent variables. Data sets, exercises, and R and WinBUGS codes are available on the authors’ website. This book shows how Bayesian statistical modeling provides an intuitive way to organize data, test ideas, investigate competing hypotheses, and assess degrees of confidence of predictions. It also illustrates how conditional reasoning can dismantle a complex reality into more understandable pieces. As conditional reasoning is intimately linked with Bayesian thinking, considering hierarchical models within the Bayesian setting offers a unified and coherent framework for modeling, estimation, and prediction.

Hierarchies in Distributed Decision Making

Hierarchies in Distributed Decision Making PDF Author: Christoph Schneeweiss
Publisher: Springer Science & Business Media
ISBN: 3662038307
Category : Business & Economics
Languages : en
Pages : 345

Book Description
Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.