数据库汉语查询接口WTCDIS系统的设计与实现

数据库自然语言查询接口可以使用户直接以日常生活中使用的自然语言提出查询请求,获取数据库中的信息。这是一个具有重要理论价值和巨大实用价值的研究领域。本文在总结数据库汉语查询的语言规律基础上,重点介绍了我们设计实现的一个数据库汉语查询接口系统WTCDIS,最后给出了对该系统进行初步测试的结果。     

Natural language interfaces as expert systems r+or tv nd u strial applicatiqks

A human-machine natural language interface can be useful in converting natural language commands into the functional/procedural instructions required for operating one or the other of the commercially available IE software packages, the same pray the qualified analysts and engineers would have performed it. This paper first gives a review of the state of the art in related research areas and concludes that there is a need for the impetus of this research. The paper also presents the natural language interface ProcessTalk and its architectural design with its distinct modules.ProcessTalk's design ensures its portability between different industries and different software packages.An example application is also given.     

Database inferencing for decision support

The use of databases for management decision support requires flexible inferencing mechanisms. The use of logic programming for these purposes is explored. To be flexible, however, this requires the logical decomposition of the database into elementary predicates.     

A new class of intelligent knowledge-based systems with an optimisation-based inference engine

In this paper we describe a new class of intelligent knowledge-based system (IKBS) which can be used principally for managerial decision making applications. This class of applications often requires a framework for knowledge acquisition which allows the system to use the knowledge of several experts. In addition, since in most business decision making the objective is maximise profits, there is a need for an inference engine which allows optimisation to be carried out. The new class of IKBS which is described in this paper has both these properties, i.e., the ability to use the knowledge of multiple experts in a convenient way and an inference engine which by performing optimisations is able to pick out the profit maximising decisions. As an illustration of these concepts, a system for allocation decision making is described. The system ‘Retail-opt’ allows the user to solve problems like allocation of space in retail outlets, allocation of space in mail order catalogues, pricing policy decisions for discounted airline tickets, etc. In the paper, the basic concepts behind ‘Retail-opt’ are described and an application of ‘Retail-opt’ to the problem of retail space allocation in a Scandinavian Department Store is given. A number of other systems which use these concepts for more complicated competitive decision making situations are also described.     

Problem-solving strategies for DSS design

For a successful design and implementation of DSS, competent understanding of decision-making processes in organizational settings and sensitivity to the interpersonal and organizational dimensions of the relationship between decision-makers and DSS designers are essential. Towards this end, a three-faceted strategy is broadly outlined and proposed. The strategy encompasses (a) a diagnostic attitude to the empirical tasks and contextual properties of decision-making, (b) emphasis on decision-makers rather than on decisions, and (c) the concept of DSS design as a joint undertaking for organizational problem-solving.     

数据库汉语查询接口WTCDIS系统的设计与实现

Natural Language Query Interfaces to Database give users a more natural method to access databases. This research has significantly theoretical and practical value.In this paper , we first summarize some principles of Chinese language used in database query. Then we mainly explain the design and implementation of a natural language interface to database we have developed. Finally , preliminary empirical results from tests of this system are presented.     

Analytic hierarchy process: It can work for group decision support systems

Most group problems are complex and unstructured and are difficult to find solutions, GDSS, systems for group decision making support, have more concentrated on the development of technological factor such as communication support, electronic meeting support, etc. And there have been relatively few researches about group problem modeling and group decision-aid. We cannot guarantee the value of GDSS just with the support in technological basis. The AHP has been suggested as an group problem modeling tool. In this paper authors applied AHP in real world group problems, investigated its value. and suggested the elements of GDSS software.     

销售利润决策支持系统的开发

在系统需求分析的基础上完成了销售利润决策支持系统的开发，解决了销售利润决策中涉及的许多半结构化问题。该系统总体设计为八个子系统，融合了辅助决策、数据库和管理信息系统的相关技术。在系统实现过程中对决策支持系统的模型库、数据库和方法库的接口问题进行了探讨与实践。     

The development of decision support systems in China

The short history of development of Decision Support Systems (DSS) in China is described. Some examples of DSS are illustrated. And four main directions involved in the DSS development are pointed out.     

Modern modeling of a classic multiperiod problem

In this paper we discuss the integration of modeling and programming in order to solve problems in operations research and decision support. Our goal is to integrate modeling into the larger programming scheme of things and, conversely, to inject programming into modeling. This integration leads to a technologically open way to handle problems in OR, AI, etc. since the full programming arsenal can be brought to bear on these problems and since both problem solving and model management can be abetted by software engineering techniques. Here, by means of variations on a single example, we will illustrate the solution of a linear program, a goal program, a disjunctive program, a hill climbing search, a branch and bound search, and a parallel solution to a stochastic problem.     

The emerging role of DSS: From passive to active

Existing decision support systems (DSS) are passive in their operation; their sole aim is to help maintain the current position of the firm. Conversely, Information Technology has recently adopted a more active role in the corporate strategy. This suggests that DSS could also undertake a far more active stance by identifying gaps in existing operations and suggesting ways to strengthen the standing of the firm. We renamed DSS containing this characteristics as Active Decision Support Systems (or ADSS) to emphasize their new orientation. Managers draw on their knowledge to suggest ways of alleviating problems or exploiting opportunities, and to evaluate each alternative in relation to the corporate objectives. Patterns and alternatives must be identified and incorporated into the ADSS. They should then be compared with the current position of the firm in order to determine whether any such problems/opportunities exist. This paper proposes an approach for designing ADSS; it introduces a knowledge-based component within the DSS framework and applies the concept of triggers to control the invocation of rule sets. A logical structure for ADSS is provided and the system use is illustrated through an example of strategic management. Issues for future research are highlighted.     

Retrieval for decision support resources by structured models

The number of available DSS within organizational Intranets will soon require efficient retrieval functionality. While Web retrieval technology performs excellent on documents, computational services need approaches that capture the semantics of resources. We present a retrieval approach that uses a variant of Structured Modeling to represent resources. It allows the use of similarity of models for retrieval. Exact similarity computation is shown to be NP-hard, and efficient heuristics for similarity computation and filter algorithms are introduced. We report an evaluation in a classroom experiment and give computational results on a benchmark library.