The ability to scientifically forecast the price of aquatic products plays an important role in the healthy and sustainable development of aquaculture. This paper presents a method for forecasting aquatic product prices using Case-Based Reasoning. Some key processes include automatic extraction of web data, attribute-oriented induction based on concept hierarchy, generation and representation o...

Case base maintenance is gaining increasing recognition in research and the practical ap plications of case based reasoning CBR This intense interest is highlighted by Smyth and Keane s research on case deletion policies In their work Smyth and Keane advocated a case deletion policy whereby the cases in a case base are classi ed and deleted based on their cover age potential and adaptation powe...

This paper discusses the role and integration of knowledge discovery in case based reasoning systems. The general view is that knowledge discovery is complementary to the task of knowledge retaining and it can be treated as a separate process outside the traditional CBR cycle. Unlike knowledge retaining which is mostly related to case-specific experience, knowledge discovery aims at the elicita...

In this paper, we will discuss the problem of proposing links for hypertexts based on Case-Based Reasoning (CBR) techniques. These proposals can be used in addition to traditional textual based methods. At first, we will focus on the basic ideas of CBR. Next, its modeling for Hyperlink-Management Systems will be discussed, and finally the usefulness of CBR in the area of link proposals will be ...

This research examines a hybrid planner for a real-world mobile robot delivering messages in an office environment. The overall project, RUPART, uses "unified CBR" to combine behavior-based control with high-level case-based planning, using a single similarity metric to retrieve both behavior cases and plan cases. This paper focuses on case-based reasoning for behavior cases. Each behavior case...

A shortest path problem is a practical issue in networks for real-world situations. This paper addresses the fuzzy shortest path (FSP) problem to obtain the best fuzzy path among fuzzy paths sets. For this purpose, a new efficient algorithm is introduced based on a new definition of ideal fuzzy sets (IFSs) in order to determine the fuzzy shortest path. Moreover, this algorithm is developed for ...

this research was conducted to evaluate the effect of different nitrogen and zinc combination on grain yield and its component in maize by path analysis. this experiment was carried out through split plot based on rcbd, varieties as main plot and fertilizers as sub plot, with three replication at badjgah (experimental farm of shiraz university). nitrogen fertilizer in (120,260 and 400 kg/ha) an...

This paper presents a model of an agent that combines both BDI and CBR techniques. We discuss the development of this kind of agent and present a case study. We use a real application of a wireless tourist guide system to illustrate the proposal. The Beliefs-Desires-Intentions (BDI) approach to design deliberative agents can be improved with the learning capabilities of Case Base Reasoning (CBR...

In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. dersnlp+ebl replays previous plan derivations by first repeating its earlier decisions in the context of the new problem situation, then extending the replayed path to obtain a complete solution for the new problem. When ...

In this paper, we identify two distinct notions of accuracy of land-use models and highlight a tension between them. A model can have predictive accuracy: its predicted land-use pattern can be highly correlated with the actual land-use pattern. A model can also have process accuracy: the process by which locations or land-use patterns are determined can be consistent with real world processes. ...