This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.

ABSTRACT:There is currently no comprehensive model which considers multiple performance criteria in choosing HVAC systems. This dissertation aims at developing an integrated decision-making model for selecting HVAC systems based on various performance criteria, including technical performance, environmental performance, economic performance and LEED performance. An analytical hierarchy process (AHP) method is used as the basis of the decision-making model to generate the optimal HVAC system. The preference weightings of performance criteria are assigned to the hierarchy structure based on the preference of the decision-makers. The weightings of the performance criteria are further integrated with the performance indicators of alternatives to calculate an overall score for each HVAC alternative of interest. With the decision-making model, the alternatives are ranked by the overall scores and the alternative with the highest score indicates the optimal HVAC system based on its comprehensive performance and preferences of the decision makers. A case study is conducted to further test the validity of the methodology. Sensitivity analysis and consistency checks are conducted to track the sensibility and accuracy of the model. This dissertation also provides thoughts on the development of software for the decision-making model for the purpose of facilitating the programming process and reducing the complexity of the model inputs and outputs.