Structured Decision Making with Interpretive Structural Modeling (ISM) PDF Download
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Author: Donna M. Lee
Publisher: Sorach, Incorporated
ISBN: 9780968491416
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The pace and complexity of life is increasing dramatically due to fierce competition, globalization, and unprecedented choice. Success in this environment is dependent upon making sound, timely decisions. In the business world, managers often postpone major decisions, fearing that a wrong choice could harm the business and their career. Similarly, in our personal lives, many important decisions are put off or made by default. Lack of insight and understanding of a complex issue is a common reason why people postpone making major decisions. An astounding tool, known only in select circles of management consultants, can help remedy this situation. This tool is called Interpretive Structural Modeling (ISM). ISM can bring diverse ideas together to provide thorough understanding of complex issues, leading to better solutions and decisions. ISM also forms the core of a powerful method that focuses the knowledge of a group to create outstanding results.Widespread use of ISM can provide significant benefits to the world community, from delivering better products with faster market introduction, to understanding and correcting problems such as global warming. Every knowledge worker and consulting professional should have access to this powerful tool. Unfortunately, suitable literature is not available for a new user to learn ISM without going through several trial and error cycles. This book is intended to fill that gap.
Author: Donna M. Lee
Publisher: Sorach, Incorporated
ISBN: 9780968491416
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
The pace and complexity of life is increasing dramatically due to fierce competition, globalization, and unprecedented choice. Success in this environment is dependent upon making sound, timely decisions. In the business world, managers often postpone major decisions, fearing that a wrong choice could harm the business and their career. Similarly, in our personal lives, many important decisions are put off or made by default. Lack of insight and understanding of a complex issue is a common reason why people postpone making major decisions. An astounding tool, known only in select circles of management consultants, can help remedy this situation. This tool is called Interpretive Structural Modeling (ISM). ISM can bring diverse ideas together to provide thorough understanding of complex issues, leading to better solutions and decisions. ISM also forms the core of a powerful method that focuses the knowledge of a group to create outstanding results.Widespread use of ISM can provide significant benefits to the world community, from delivering better products with faster market introduction, to understanding and correcting problems such as global warming. Every knowledge worker and consulting professional should have access to this powerful tool. Unfortunately, suitable literature is not available for a new user to learn ISM without going through several trial and error cycles. This book is intended to fill that gap.
Author: Behl, Abhishek
Publisher: IGI Global
ISBN: 1799822184
Category : Business & Economics
Languages : en
Pages : 422
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Book Description
Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.
Author: Gwo-Hshiung Tzeng
Publisher: CRC Press
ISBN: 1439861579
Category : Business & Economics
Languages : en
Pages : 352
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Book Description
Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures. The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include: AHP to select planning and design services for a construction project TOPSIS and VIKOR to evaluate the best alternative-fuel vehicles for urban areas ELECTRE to solve network design problems in urban transportation planning PROMETEE to set priorities for the development of new energy systems, from solar thermal to hydrogen energy Fuzzy integrals to evaluate enterprise intranet web sites Rough sets to make decisions in insurance marketing Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.
Author: Yoshikazu Sawaragi
Publisher: Elsevier
ISBN: 0080958664
Category : Mathematics
Languages : en
Pages : 311
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Book Description
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression. - Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Author: K. N. Krishnaswamy
Publisher: Pearson Education India
ISBN: 9788177585636
Category : Business & Economics
Languages : en
Pages : 602
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Book Description
The subject of management research methodology is enthralling and complex. A student or a practitioner of management research is beguiled by uncertainties in the search and identification of the research problem, intrigued by the ramifications of research design, and confounded by obstacles in obtaining accurate data and complexities of data analysis. Management Research Methodology: Integration of Principles, Methods and Techniques seeks a balanced treatment of all these aspects and blends problem-solving techniques, creativity aspects, mathematical modelling and qualitative approaches in order to present the subject of Management Research Methodology in a lucid and easily understandable way.
Author: Jitesh J. Thakkar
Publisher: Springer Nature
ISBN: 9813347457
Category : Technology & Engineering
Languages : en
Pages : 393
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Book Description
p="" The book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation. The topics in this volume help readers understand the techniques in the model building and analysis stage. The chapters cover a variety of techniques and their applications for interesting problems. This book will be of interest to readers in diverse disciplines such as engineering, business, management, humanities, psychology and law. ^
Author: Boris Delibašić
Publisher: Springer
ISBN: 3319185330
Category : Computers
Languages : en
Pages : 124
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.
Author: Ching-Lai Hwang
Publisher: Springer Science & Business Media
ISBN: 3642615805
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
This monograph is intended for an advanced undergraduate or graduate course of engineering and management science. as well as for persons in business. industry. military or in any field. who want an introductory and a capsule look into the methods of group decision making under multiple criteria. This is a sequel to our previous works entitled "Multiple Objective Decision Making--Methods and Applications (No. 164 of the Lecture Notes). and "Multiple Attribute Decision Making--Methods and Applications (No. 186 of the Lecture Notes). Moving from a single decision maker (the consideration of Lecture Notes 164 and 186) to a multiple decision maker setting introduces a great deal of complexity into the analysis. The problem is no longer the selection of the most preferred alternative among the nondominated solutions according to one individual's (single decision maker's) preference structure. The analysis is extended to account for the conflicts among different interest groups who have different objectives. goals. and so forth. Group decision making under multiple criteria includes such diverse and interconnected fields as preference analysis. utility theory. social choice theory. committee decision theory. theory of voting. game theory. expert evaluation analysis. aggregation of qualitative factors. economic equilibrium theory. etc; these are simplified and systematically classified for beginners. This work is to provide readers with a capsule look into the existing methods. their characteristics. and applicability in the complexity of group decision making.
Author: Derek K. Hitchins
Publisher: Artech House
ISBN: 9781580536202
Category : Industrial management
Languages : en
Pages : 504
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Book Description
Annotation This volume offers a comprehensive understanding of systems ideas and methods, showing professionals in a wide range of high-tech fields how to conceive, design and manage a systems engineering process for optimal results and goal attainment.
Author: Devendra K. Chaturvedi
Publisher: CRC Press
ISBN: 143980673X
Category : Computers
Languages : en
Pages : 734
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Book Description
Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.
