Preface

Chapter 7 **DairyMGT: A Suite of Decision Support Systems in Dairy**

Chapter 8 **Designing Effective Forecasting Decision Support Systems:**

M.T. Lamelas, O. Marinoni, J. de la Riva and A. Hoppe

Chapter 10 **Semi-Automatic Semantic Data Classification Expert System to**

Connor Wright, Christine W. Chan and Paul Laforge

Chapter 9 **Comparison of Multicriteria Analysis Techniques for**

Chapter 11 **Towards Developing a Decision Support System for**

**Aligning Task Complexity and Technology Support 173**

**Environmental Decision Making on Industrial Location 197**

Luciene Stamato Delazari, André Luiz Alencar de Mendonça, João Vitor Meza Bravo, Mônica Cristina de Castro, Pâmela Andressa Lunelli, Marcio Augusto Reolon Schmidt and Maria Engracinda dos

**Farm Management 143**

Monica Adya and Edward J. Lusk

**Produce Thematic Maps 223**

**Electricity Load Forecast 247**

Victor E. Cabrera

**VI** Contents

Santos Ferreira

Pacing through second decade of the 21th century, more computer users are widely adopting technology-based tools and information-enriched databases to focus on supporting managerial decision making, reducing preventable faults and improving outcome forecasting. The goal of decision support systems (DSS) is to develop and deploy information technology-based systems in supporting efficient practice in multidiscipline domains. This book aims to portray a pragmatic perspective of applying DSS in the 21th century. It covers diverse applications of DSS, primarily focusing on the resource management and outcome forecast. Our goal was to provide the broad understanding of DSS and illustrate their practical applications in a variety of fields related to real life.

> **Chiang Jao** Chief Biomedical Informaticist, Tranformation Inc, USA

**Section 1**

**Biomedical Applications**

**Section 1**
