This book is designed to help people improve their decision-making skills by learning decision-aiding software. The learning process can be greatly facilitated through the self-teaching features of this book. The book presupposes no prior knowledge of computers, software, or decision analysis. It begins at an introductory level describing data input, tentative analysis, and what-if analysis. Teach Yourself Decision-Aiding Software then proceeds to an intermediate level where the software is used to overcome obstacles to systematic decision-making such as multiple dimensions on multiple goals, multiple missing information, multiple alternatives that are too many to determine the effects of each one. The book then proceeds to an advanced level where the software is concerned with prediction, explanation, and causal analysis, rather than prescription, evaluation, and normative analysis. It also deals with special conditions of decision-making. This book is coordinated with the P/G% decision-aiding software. In the back of the book, a floppy disk contains the program plus ten illustrative data files that correspond to the examples used in the book.