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Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

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OPTIMISATION OF WORKING CAPITAL FOR CONSTRUCTION PROJECTS BY USING MATHEMATICAL MODELLING



INTRODUCTION TO WORKING CAPITAL
Firstly we have to know what exactly is working capital & its importance in construction projects. Many companies still underestimate the importance of working capital management as a lever for freeing up cash from inventory, accounts receivable, and accounts payable. By effectively managing these components, companies can sharp ....etc

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Presented By:
Fredrik Roos and Jan Wikander



Abstract
In traditional methodologies for mechatronic design, the design processes of the mechanical structure, the electromechanical actuators and the control system, is more or less independent of each other. The mechanical structure is usually designed first, then fitted with off-the-shelf electric motors and drive electronics, and finally, a controller is designed for the already existing physical system. This approach leads to that many of the possible advantages of mechatronic ....etc

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Static competitive facility location: An overview of optimisation approaches


Introduction
A large part of location theory in operational
research has been built around the (mostly implicit)
modelling assumption of a spatial monopoly:
the facility to be located o€ers a unique
product or service and is the single player in the
part of the market that is considered. Most situations
in practice do not ®t such models and the
need arises to incorporate com ....etc

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Introduction
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the human. ....etc

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