Agile Knowledge Supply Chain for Emergency Decision-Making Support

Wang, Qingquan; Rong, Lili

doi:10.1007/978-3-540-72590-9_27

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Recently, Luna and Pennock (2018) found that traditional emergency management methodologies have been overwhelmed. Most methods compare EDM problems with conventional decision-making (CDM) problems, and some characteristics are gained, such as being timesensitive (Xu et al, 2015a;Mendonça et al, 2000;Wang et al, 2013), attribute-uncertain (Wang et al, 2007;Wu and Zhao, 2010) and complicated and unstructured (Lee et al, 2012). Lauras et al (2013) underlined the capability of an event-cloud platform to efficiently support an emergency situation.…”

Section: The Main Studies Of the Emergency Decision-making Modelmentioning

confidence: 99%

Categories in emergency decision-making: prototype-based classification

Cai

Wei

Cao

2019

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Purpose This paper aims to demonstrate how to make emergency decision when decision makers face a complex and turbulent environment that needs quite different decision-making processes from conventional ones. Traditional decision techniques cannot meet the demands of today’s social stability and security. Design/methodology/approach The main work is to develop an instance-driven classifier for the emergency categories based upon three fuzzy measures: features for an instance, solution for the instance and effect evaluation of the outcome. First, the information collected from the past emergency events is encodes into a prototype model. Second, a three-dimensional space that describes the locations and mutual distance relationships of the emergency events in different emergency prototypes is formulated. Third, for any new emergency event to be classified, the nearest emergency prototype is identified in the three-dimensional space and is classified into that category. Findings An instance-driven classifier based on prototype theory helps decision makers to describe emergency concept more clearly. The maximizing deviation model is constructed to determine the optimal relative weights of features according to the characteristics of the new instance, such that every customized feature space maximizes the influence of features shared by members of the category. Comparisons and discusses of the proposed method with other existing methods are given. Practical implications To reduce the affection to economic development, more and more countries have recognized the importance of emergency response solutions as an indispensable activity. In a new emergency instance, it is very challengeable for a decision maker to form a rational and feasible humanitarian aids scheme under the time pressure. After selecting a most suitable prototype, decision makers can learn most relevant experience and lessons in the emergency profile database and generate plan for the new instance. The proposed approach is to effectively make full use of inhomogeneous information in different types of resources and optimize resource allocation. Originality/value The combination of instances can reflect different aspects of a prototype. This feature solves the problem of insufficient learning data, which is a significant characteristic of emergency decision-making. It can be seen as a customized classification mechanism, while the previous classifiers always assume key features of a category.

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Section: The Main Studies Of the Emergency Decision-making Modelmentioning

confidence: 99%

Categories in emergency decision-making: prototype-based classification

Cai

Wei

Cao

2019

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“…Decision should be made as fast as possible to limit the damages. For example, Wang and Rong [1] propose the operational mechanism of the Agile Supply Chain (ASC) and Agile Knowledge Supply Chain (AKSC), which can explore a new approach to knowledge-based quick responses in the emergency decision-making support. Tan et al [2] propose M-Grid-Based VE operation platform (MGVEOP) which is efficient and agile.…”

Section: Introductionmentioning

confidence: 99%

Research on the group decision-making about emergency event based on network technology

Xie

Gang

et al. 2011

Inf Technol Manag

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In order to improve decision-making efficiency about emergency event, this paper proposes a novel concept, i.e., Agile-Delphi Method, which is an integration of agile decision and Delphi Method implicating that the decision-makers instantly deliver, respond, treat, and utilize information via Delphi process while conducting group decision-making about emergency event. The paper details the mechanism of group decision-making about emergency event based on network technology and Agile-Delphi Method. Finally, the paper conducts an empiric analysis taking the ''111 event'', i.e., the liquid ammonia spill event happened on November 1, 2006 in a phosphorus chemical company in China, as an example.

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“…Knowledge pieces [1] are special knowledge units, which have the categorical knowledge structures based on typed category theory [2], and used for effective knowledge reorganization on emergency textual data [3]. Such categorical knowledge structures can preserve comparatively plenty semantic information for high precision processing, such as matching, reasoning, association and reorganization, to support emergency decision-making [4]. In knowledge pieces, a given amount of sentences that relate with one topic can be represented as a netlike topological structure.…”

Section: Introductionmentioning

confidence: 99%

Toward a Categorical Link Grammar for Knowledge Piece Generation in Emergency Decision-Making Support

Wang

Rong

2008

2008 Fourth International Conference on Networked Computing and Advanced Information Management

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Emergency knowledge pieces are special knowledge units with categorical structures that keep comparatively sufficient semantic information for advanced knowledge reorganization; however, the primary question is how to generate knowledge pieces from textual data for more strict knowledge processing. Link Grammar is a typical method on parsing and its special link mechanism of using connectors give us an inspiration to extend this method to the knowledge piece generation. Drawing on the link mechanism, we propose a Categorical Link Grammar (CLG) that extend the connectors and their formulas to the categorical types and their order formulas, and give the flow of generating knowledge pieces.

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Agile Knowledge Supply Chain for Emergency Decision-Making Support

Cited by 7 publications

References 14 publications

Categories in emergency decision-making: prototype-based classification

Categories in emergency decision-making: prototype-based classification

Research on the group decision-making about emergency event based on network technology

Toward a Categorical Link Grammar for Knowledge Piece Generation in Emergency Decision-Making Support

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