By Guangquan Zhang
This monograph provides new advancements in multi-level decision-making thought, method and approach in either modeling and resolution concerns. It particularly provides how a choice aid process can help managers in attaining an answer to a multi-level determination challenge in perform.
This monograph combines selection theories, tools, algorithms and purposes successfully. It discusses intimately the versions and resolution algorithms of every factor of bi-level and tri-level decision-making, equivalent to multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters.
Potential readers contain organizational managers and working towards pros, who can use the tools and software program supplied to unravel their genuine choice difficulties; PhD scholars and researchers within the components of bi-level and multi-level decision-making and choice aid platforms; scholars at a sophisticated undergraduate, master’s point in details platforms, enterprise management, or the appliance of machine science.
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Additional resources for Multi-Level Decision Making: Models, Methods and Applications
4 Decision Support Systems 15 which can be used, in general, by any organization for solving any fuzzy MCDM or fuzzy MCGDM problem. A DSS is intended to support rather than replace decision making; to be an adjunct to decision makers to extend their capabilities but not to replace their judgments. Sometimes, there may not be an optimal solution for decision problems that arise in ill-structured situations and uncertain environments. The decision therefore must evolve through the interaction of decision makers with resources such as data analysis models to obtain the most satisfactory solution for the circumstances.
Uncontrollable Variables (or Parameters) are the factors that affect the result variables but are not under the control of decision makers. These factors can be ﬁxed, in which case they are called parameters, or they can vary. These factors are uncontrollable because they are determined by elements of the system environment. Some of these variables limit decision makers and therefore form what are called the constraints of the problem. For example, each product’s cost of production should be less than the total proﬁt, and each product should meet marketing requirements and so on in a product planning problem.
A WDSS uses a web browser to access the Internet or Intranet. It can be model-driven, data-driven, knowledge-driven, communication-driven or hybrid. Recent developments in e-Commerce, e-Business, e-Government and e-Service provide a fertile ground for this new type of DSS application. The types of DSS discussed above can all be combined with each other to form a hybrid DSS such as a knowledge-based GDSS or an intelligent WDSS. There are many other classiﬁcations of DSS in the literature. We introduce some related results below.
Multi-Level Decision Making: Models, Methods and Applications by Guangquan Zhang