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-s.
Abhishek Dutt Tripathi
Abhishek Kumar
Abhishek Agarwal
Abhishek Sharma
Abhishek Sharma
Abhishek Rawat
Abhishek Sharma
Abhishek Rai
Joshua D. Behl
Abhishek Sharma
Abhishek Sharma
Abhishek Sharma
Robin Behl
Abhishek Agarwal
Kristen Emily Behl
Abhishek Singh
Joshua D. Behl
Abhishek Sawant
Robin Behl
Abhishek Lodhi
Abhishek Verma
Abhishek Prajapati
Jawar Behl
Kristen Emily Behl
Abhishek Talwar
Joshua D. Behl
Abhishek Maurya
Abhishek KUMAR
Abhishek KUMAR
Narender Govind Behl
Abhishek Kumar
Abhishek Raj
Abhishek Patel
This biography introduces readers to woodrow wilson including his early political career and key events from wilson's administration including world war i, paris peace conference, signing of the treaty of versailles, and the nineteenth amendment.
Abhishek Kumar
Dr Abhishek Shrivastava
Abhishek Kaicker
Abhishek Thakur
Abhishek Suryavanshi
Abhishek Raj
Abhishek Kumar
Discover the methods and techniques required for creating immersive design visualization for industry.
Abhishek Vashisht
Abhishek Behl
Multi-criteria decision making (mcdm) has been extensively used in diverse disciplines, with a variety of mcdm techniques used to solve complex problems.
Abhishek Leela Pandey
Abhishek Mukti
Abhishek Mishra
Put the power of apple ios machine learning (ml) capabilities to work in your apps!
Abhishek Behl
Multi-criteria decision making (mcdm) has been extensively used in diverse disciplines, with a variety of mcdm techniques used to solve complex problems.
Abhishek Behl
Multi-criteria decision making (mcdm) has been extensively used in diverse disciplines, with a variety of mcdm techniques used to solve complex problems.
Abhishek SenGupta
Abhishek Singh
Business model for the internet economy is a book which discusses the concepts related to the business models which are used in the internet economy.
Abhishek Chopra
Vladik Kreinovich
This book is about how to make decisions - mathematically based.
Richard H. Thaler
G Leowenstein
Daniel Kahneman
Daniel Kahneman
Frederic Schick
Konrad Kulakowski
"one of the best-known methods of multi-criteria decision-making is the analytic hierarchy process (ahp).
Kenneth D. Lawrence
Mahendra Mallick
Ramanathan Sugumaran
Although interest in spatial decision support systems (sdss) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of sdss along with the advanced.
Khaled Tamzini
In recent years, a number of scholars trained in the area of economics have begun to pay attention to a fascinating and increasingly important question: does the interrelationship between religion and enterprise shape entrepreneurial decision making?
Hannelore Lisei
Michael D. Mumford
Keith Dowding
Featuring a substantial new introduction and two new chapters, this new edition makes one of the most significant works on power available in paperback and online for the first time.
Victor Tadros
The criminalization series arose from an interdisciplinary investigation into criminalization, focussing on the principles that might guide decisions about what kinds of conduct should be criminalized, and the forms that criminalization should ta.
Glenn Shafer
Game-theoretic probability and finance come of ageglenn shafer and vladimir vovk's probability and finance, published in 2001, showed that perfect-information games can be used to define mathematical probability.
Lirong Xia
The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, a.
Ireneusz Czarnowski
Anand S. Dighe
Brian J. Reich
Bayesian statistical methods provides data scientists with the foundational and computational tools needed to carry out a bayesian analysis.
Lyle D. Broemeling
In many branches of science relevant observations are taken sequentially over time.
Peter D. Congdon
Revised edition of: applied bayesian hierarchical methods.
Mitchell
This text provides a unique collection of case studies across a wide range of organizations (higher education, k-12 education, military, state and local government administration, non-profit institutions, and agency management, etc.
Steven Johnson
A groundbreaking book about making once-in-a-lifetime decisions, from the bestselling author of how we got to now and where good ideas come from.
Adair, John
In decision making and problem solving , leadership guru john adair provides the techniques and insights you need to find solutions, spark creativity and confidently make the right decisions.
Mevin B. Hooten
Bringing bayesian models to life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis.
Michael D. Mumford
Marwan Mikdadi
Yan Liu
Demonstrates how to solve reliability problems using practical applications of bayesian modelsthis self-contained reference provides fundamental knowledge of bayesian reliability and utilizes numerous examples to show how bayesian model.
Richard McElreath
Statistical rethinking: a bayesian course with examples in r and stan builds readers' knowledge of and confidence in statistical modeling.
Paula Short
This book describes the various strategies and procedures for collecting, analyzing, and organizing information to improve education..
Cait Flanders
In her late twenties, cait flanders found herself stuck in the consumerism cycle that grips so many of us: earn more, buy more, want more, rinse, repeat.
Ariel Rosenfeld
Eric J. Bolland
How and to what extent do decisions affect business performance?
Sumio Watanabe
Mathematical theory of bayesian statistics introduces the mathematical foundation of bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method.
Karlos J. Kachiashvili
Scott A. Sisson
As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead.
Armin W. Schulz
An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment.
Andy Pole
Practical in its approach, applied bayesian forecasting and time series analysis provides the theories, methods, and tools necessary for forecasting and the analysis of time series.
Steven Johnson
A groundbreaking book about making once-in-a-lifetime decisions, from the bestselling author of how we got to now and where good ideas come from.
Lyle D. Broemeling
Analyze repeated measures studies using bayesian techniquesgoing beyond standard non-bayesian books, bayesian methods for repeated measures presents the main ideas for the analysis of repeated measures and.
Albert W. Dzur
In our current era of deep distrust in our politics and political institutions, there is also a pervasive sense that social problems are so overwhelmingly complex that it is virtually impossible to solve them.
Ali E. Abbas
Many of the complex problems faced by decision makers involve uncertainty as well as multiple conflicting objectives.
Michael J. Barakey
Alan Weiss
Lifestorming is the indispensably practical handbook for becoming the person you want to be.
Vivek Kale
"vivek kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization.
Robert Barner
The transformational odyssey was written to help those individuals who are facing difficult life transitions, and who are attempting to successfully navigate tough life decisions and engage in deep self-discovery.
Gwo-Hshiung Tzeng
When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort.
Peter Atrill
Gwo-Hshiung Tzeng
When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort.
Maxine Attong
Mika Aaltonen
Advancing new sense-making tools for organizational strategy, this book demonstrates how to deal with asymmetric threats and opportunities.
James V. Candy
Presents the bayesian approach to statistical signal processing for a variety of useful model sets this book aims to give readers a unified bayesian treatment starting from the basics (baye's rule) to the more advanced (monte car.
Melanie E. Kreye
Lyle D. Broemeling