A Systematic Tradeoff Methodology for Acquiring and Validating Imprecise Requirements

Requirement analysis is one of the most important phases in a software development process. Existing requirement methodologies are limited in specifying requirements that are usually vague and imprecise, and in supporting tradeoff analysis between the conflicting requirements. In this paper, the elasticity of imprecise requirements is captured using fuzzy logic to facilitate tradeoffs between conflicting requirements. Based on the marginal rate of substitution in decision science, we have developed a systematic approach to elicit the structures and the parameters of imprecise requirements, to validate the scheme for aggregating requirements, and to assess relative priorities of conflicting requirements

Financial regulatory structure and the resolution of conflicting goals

The debate over modernizing the financial structure is raising questions about the merits of modernizing the financial regulatory structure. Regulatory structure is important because an almost unavoidable feature of our current system of government is that Congress assigns multiple goals that sometimes have conflicting policy implications to the regulatory agencies. The structure of the agencies is important to the resolution of these conflicts. Responsibility for two or more goals that have conflicting implications may be assigned to a single agency that is likely to resolve the conflict with a consistent set of policies based on the agency's priorities. Alternatively, the goals may be assigned to more than one agency, an action that often results in the conflicts being debated in the public arena but that may also result in the agencies' implementing inconsistent policies. This paper uses the problem of goal conflicts to provide a framework for evaluating alternative regulatory structures.Banks and banking ; Banking structure

A web-based multi-perspective decision support system for information security planning

With the increasing exposure and vulnerability to cyber attacks, it becomes necessary to develop methodologies and systems that are capable of dealing with the complex and multifaceted nature of decision situations encountered in security planning and management. In this paper we present the theoretical basis, architecture and design of a web-based multi-perspective decision support system (DSS) and an underlying decision multi-criteria decision framework that is consistent with security and decision theory. The system is illustrated through a multi-stakeholder scenario that captures the complexity encountered in a multi-criteria security control selection decision problem

Initiating organizational memories using ontology-based network analysis as a bootstrapping tool

An important problem for many kinds of knowledge systems is their initial set-up. It is difficult to choose the right information to include in such systems, and the right information is also a prerequisite for maximizing the uptake and relevance. To tackle this problem, most developers adopt heavyweight solutions and rely on a faithful continuous interaction with users to create and improve content. In this paper, we explore the use of an automatic, lightweight ontology-based solution to the bootstrapping problem, in which domain-describing ontologies are analysed to uncover significant yet implicit relationships between instances. We illustrate the approach by using such an analysis to provide content automatically for the initial set-up of an organizational memory

Tax Structures and FDI The Deterrent Effects of Complexity and Uncertainty

In this study we examine the connection between the varied experiences of the transition countries in attracting FDI and their diverse experiences in transforming their tax structures to be consistent with a market economy. In particular, we study whether complexity and uncertainty in their tax laws have deterred foreign direct investment by increasing transaction costs, the compliance burden and the unpredictability of tax liabilities. Our results indicate that complexity and uncertainty, in the sense of multiple tax rates, indeterminate language in the tax law, and inconsistent changes in the tax laws have a significant negative effect on inward foreign direct investment.http://deepblue.lib.umich.edu/bitstream/2027.42/39943/2/wp558.pd