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Soft computing logic decision making in strategic conservation planning for water quality protection
Ecological Informatics ( IF 5.1 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.ecoinf.2020.101167
Jozo Dujmović , William L. Allen

The goal of this paper is to present a methodology for professional evaluation, comparison and selection of alternatives in conservation planning and related areas. Our decision methodology is based on soft computing and consistent with observable properties of human reasoning. Main topics that we cover include the presentation of the LSP (Logic Scoring of Preference) decision method, the analysis of benefits that soft computing graded logic provides in comparison to traditional oversimplified additive weighed scoring models, and a detailed presentation of the Upper Neuse Clean Water Initiative in North Carolina, which is a real-life decision project in landscape planning and strategic conservation, based on our proposed methodology. In addition, we also present results of using decision support software tools that are necessary for the development and use of decision criteria. Our methodology and results are applicable in a wide variety of areas, including ecology, open space management, urban planning, geographic information systems, and decision making in agriculture.

Keywords

LSP method

Strategic conservation

Suitability analysis

Multi-criteria decision making

Graded logic

Simple additive scoring

Landscape planning

Water quality protection

GIS



中文翻译:

水质保护战略性保护规划中的软计算逻辑决策

本文的目的是提出一种在保护规划和相关领域进行专业评估,比较和选择的方法。我们的决策方法基于软计算,并且与人类推理的可观察特性保持一致。我们涵盖的主要主题包括LSP(优先级逻辑评分)决策方法的介绍,与传统的过分简化的添加剂加权计分模型相比,软计算分级逻辑所提供的收益分析,以及上部Neuse净水的详细介绍根据我们提议的方法,北卡罗来纳州的Initiative计划是一个景观规划和战略保护方面的现实决策项目。此外,我们还将介绍使用决策支持软件工具的结果,这些工具对于制定和使用决策标准非常必要。我们的方法和结果适用于广泛的领域,包括生态,开放空间管理,城市规划,地理信息系统以及农业决策。

关键词

LSP方法

战略养护

适宜性分析

多标准决策

分级逻辑

简单的加法评分

景观规划

水质保护

地理信息系统

更新日期:2020-10-02
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