Fuzzy Quantitative Management
Principles, Methodologies and Applications
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Chapter
System Dynamics Modeling and Applied to International PPP Project Risk Evaluation
The system dynamics modeling was appeared in 40s last century by Professor J.W. Forrester of Massachusetts Institute of Technology.
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The Advantages of Quantitative Management in Decision
There are two different kinds of uncertainties in the objective world: the uncertainty in occurrence of uncertain event; as well as the uncertainty in degree of the event. Though there are many uncertain event...
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Philosophical Consideration of Quantitative Management
In the management discipline, there are two different managerial modes, namely: qualitative (empirical) and quantitative (digital) managements. It is ever increasing recognition that under volatility, uncertai...
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Quantitative Risk Decision of Overseas Projects
Project risk is come from uncertainties of the project environment; if there is every thing is certain, there will be no risk at all. Unfortunately, there are more uncertainties in the overseas market; therefo...
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Chapter
Fuzzy TOPSIS Method for the Cost Prediction in Bridge Engineering Project
On emphasizing the slogan of “strengthen the nation through transportation”, it seems more and more important for the cost prediction of transportation engineering projects. Nevertheless, due to insufficient o...
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“Fuzz-AI Model” for Quantitative Management
The essential of management is: For definite purposes, using limited resource (time, manpower and asset) to make a series of decision under uncertain environment. In the past, management decision usually is ma...
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Fuzzy Quantitative Risk Management
As the fast economic development in the real world nowadays, numerous investment and industrial projects are blossoming in the world over, especially in the new market, where people are facing high risk in eac...
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Perspectives in Combining Fuzzy and AI Techniques in Quantitative Management
As the progress of science and technology, we are entering to the Internet digital era. The new generation of project management will be implemented on the Internet platform, where the layout, planning, implem...
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The Conceptual Investigation of “Deep Data” and “Deep Knowledge”
The conventional data base (DB) and knowledge base (KB) attached to conventional decision supporting system (DSS) will not be sufficient to the needs of decision making in daily.
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On Fuzzy Method of “Deep Knowledge” and “Deep Data” in Project Quantitative Management
At present, the conventional database (DB) and knowledge base (KB) can’t fully meet the needs of decision-making for management problems. Because only the Shallow Data and Shallow Knowledge provided by convent...
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Introduction to Digital Era
In this chapter, the characteristics of the digital era are introduced, it shows that all the information, which is the essentials of every event reflected from the objective world, will be in digital form and...
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Fuzzy Analytic Hierarchy Process (FAHP)
To explore the internal law of objective complicated events, one builds a factor chat and offers weights among them, and uses the “Analytic Hierarchy Process (AHP)” method for determining the quantitative rela...
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Fuzzy Machine Learning Methods
This chapter is dealing with the theoretical basis of machine learning, especially by fully utilizing fuzzy set theorem to approach our goals and it must be manipulated in a practical and implementable way.
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Fuzzy-AI Model for Decision-Making
As for project management, it can be simply expressed as “For approaching certain purpose(s) to make a series of decisions under uncertain environment”.
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Fuzzy-AI Model and Big Data Exploration
A Methodological Philosophy in Solving Problems in Digital Era
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“Subjective Information” and “Fuzzy-AI Model” for Digital Revolution
We are in the era of the digital revolution, which is characterized by “Softening of the theories” and “Hardening of the human experience”.
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Theoretical Adaptability of Fuzzy Approach
The purpose of this chapter is focused on the verification on the theoretical basis of the fuzzy approach. It seems necessary to explain the rationality of appropriateness in using this mathematical tool for e...
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Fuzzy Reasoning Method for Comprehensive Evaluation
To explore the internal law of objective events is the ultimate purpose of the human being for understanding the outside world. Toward this end, comprehensive evaluation through fuzzy reasoning is a generalize...
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Fuzzy-AI Models for Optimization of Complex System
In our daily life, people will encounter plenty of practical problems, which are a series of complicated system with its explicit and implicit natures. As the volatility, uncertainty, complexity and ambiguity ...
