Titlebook: Intelligent Decision-making Support Systems; Foundations, Applica Jatinder N. D. Gupta,Guisseppi A. Forgionne,Manuel Book 2006 Springer-Ver

外形

马赛克

contradict

prodrome

CAMEO

cornucopia

美学

Explanatory Power of Intelligent Systemsily from the expert systems literature, interface-based enhancements, and the appropriate selection of an advisory strategy. Such enhancements contribute to explanatory power by increasing system transparency and flexibility, and lead to outcomes such as better decision-making and problem-solving pe

昏睡中

A New Paradigm for Developing Intelligent Decision-making Support Systems (i-DMSS): A Case Study on to software development life cycle (SDLC), a paradigm focusing on ISD in organization and other closed-domain systems. Recent developments in agentoriented software engineering, like Gaia, extend this paradigm to cover intelligent agents and multiagent systems. However, evidence from Web-based i-DM

湿润

A Causal Knowledge-driven Negotiation Mechanism for B2B Electronic Commercer, the literature still shows that only structured negotiation terms (SNTs) are being explicitly considered, despite the fact that unstructured negotiation terms (UNTs) should be rendered as well. This chapter proposes a new negotiation support mechanism that can be utilized to incorporate causal re

jovial

An IDSS for Regional Aquaculture Planningnt is no exception. Moreover, aquacultural plans do not have clearly defined objectives and require information that, if it exists, is often imprecise and uncertain. This chapter presents the development of an intelligent decision support system (IDSS) for regional aquaculture planning. The IDSS app