Information Technology Reference
In-Depth Information
strategies can be employed to further reduce the computation complexity for
IBL.
5.11 Forecast System for Central Fishing Ground
As indicated by psychological researches, mankind is good at making
decisions based on its past experiences. The restrictions posed by human
memory capacity make it difficult for people to recall the appropriate cases
correctly, especially when the number of cases is daunting big.. Compared
with people, computers have the advantages in terms of “memory”, i.e.,
computers can store a large number of cases and retrieve relevant ones fast. It
is exactly the scope of case-based decision aiding to combine the merits of
people and machine together to help decision making.
It has attracted extensive attentions of the countries all over the world to
employ the modern science and technology to develop the marine resources,
maintain and manage marine fishery resources well, and realize the
sustainable development of sea fishery. The utilization of computer, remote
sensing, automation, geographical information system can not only offer
macroscopic decision information for developing and managing in the sea
fishery, but also direct the microcosmic concretely for the use of marine
fishery resources.
Under the support of 863 Program, we launched researches on remote
sensing information and resource assessment system for sea fishery, and the
concerning system integration and case illustration for the better utilization of
resources and development of fishery of the sea areas in our country. It serves
to strengthen the new and high technology to the support function of
maintaining, utilizing and administrative skill of fishery resources of marine
exclusive economic zone in the future. We use China East Sea (north latitude
25 degree to 34 degree, 130 of east longitude with west sea area) as the
demonstration area for fishing ground prediction and lay a good foundation
for the utilization and development of fishery resources in open seas and
oceans. The fishing ground prediction utilizes technologies such as data
mining, CBL, expert system, and analysis technology in the fishery of remote
sensing, sea fishery serve under the support of the geographical technology of
information system, and together with the knowledge and experiences domain
