Critiquing contractors' scheduling by integrating rule-based and case-based reasoning

Dzeng, Ren‐Jye; Lee, Hsin Yun

doi:10.1016/j.autcon.2004.03.004

Cited by 27 publications

(7 citation statements)

References 8 publications

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“…Since portfolios of work schedules for a renovation project are usually numerous, we used optimization algorithms to find the near-optimal solutions. To date, many methods have been proposed to solve project planning and scheduling problems, including genetic algorithms (GA) (Chen, Weng 2009), particle swarm optimization (PSO) (Zhang et al 2006), case-based reasoning (CBR) (Dzeng, Lee 2004), and ant colony optimization (ACO). ACO is often applied to scheduling problems (e.g.…”

Section: Assigning Work Crews By Ant Colony Optimizationmentioning

confidence: 99%

Planning Work Crew Assignments for Pedestrian Area Renovation to Improve Its Impact on the Public

Lee

2014

Journal of Civil Engineering and Management

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When renovating a pedestrian area, it is crucial to maintain as normal as possible an operation while the renovation activities are underway. Usually the area is divided into several zones to accommodate the renovation in sections. A zone closure forces the users to take an alternative route that could be longer or more congested. The impact of such rerouting must be minimized by properly planning the work crews. In this paper, the author proposed a model using simulation to estimate the impact of the extra walking distance on pedestrians, and ant colony optimization to search for the nearoptimal work crew schedule. The author applied the model to the renovation of a public pedestrian area in a villa resort. It provides a near-optimal work schedule for a variety of work crews with minimal walking time delay for the pedestrians. This model takes into account total walking time delay, average delay per person, and total duration in order to evaluate all alternatives to allow both owner and contractor to decide the appropriate work schedule.

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Section: Assigning Work Crews By Ant Colony Optimizationmentioning

confidence: 99%

Planning Work Crew Assignments for Pedestrian Area Renovation to Improve Its Impact on the Public

Lee

2014

Journal of Civil Engineering and Management

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“…The reason for the popularity of a rulebased and case-based combination in medicine is due to the fact that decision-making follows a combination of general knowledge and experience gained from abundant patient cases. Other applications where combination of rules and cases has been used include agriculture (Zhou et al, 2005), aircraft design (Rentema, 2004), aircraft fleet maintenance (Wylie et al, 1997;Halasz et al, 1999), automobile construction (Ding et al, 2004), biomedicine (Park et al, 2000), construction (Dzeng & Lee, 2004), design of nutrition menus (Marling et al, 1999), equipment failure analysis (Wang & Wang, 2005), finance (Dutta & Bonissone, 1993;Chen & Wilkinson, 1998), life insurance (Lee, 2002), modeling event-based dynamic situations (Jakobson et al, 2004), music (Sabater et al, 1998), personnel performance evaluation (Chi & Kiang, 1993), real-time marine environment monitoring (Vafaie & Cecere, 2005), surname pronunciation (Golding & Rosenbloom, 1996), service fault diagnosis to guarantee quality of service (Hanemann, 2006) and ultrasonic rail inspection (Jarmulak et al, 2001). Table 2 shows the application domains and the corresponding integrated systems (in alphabetical order).…”

Section: Combining Rbr and Cbrmentioning

confidence: 99%

Categorizing approaches combining rule‐based and case‐based reasoning

Prentzas¹,

Hatzilygeroudis²

2007

Expert Systems

115

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Rule-based and case-based reasoning are two popular approaches used in intelligent systems. Rules usually represent general knowledge, whereas cases encompass knowledge accumulated from specific (specialized) situations. Each approach has advantages and disadvantages, which are proved to be complementary to a large degree. So, it is well justified to combine rules and cases to produce effective hybrid approaches, surpassing the disadvantages of each component method. In this paper, we first present advantages and disadvantages of rule-based and case-based reasoning and show that they are complementary. We then discuss the deficiencies of existing categorization schemes for integrations of rule-based and case-based representations. To deal with these deficiencies, we introduce a new categorization scheme. Finally, we briefly present representative approaches for the final categories of our scheme.Keywords: hybrid intelligent systems, intelligent integrated systems, combination of rule-based and case-based reasoning, rule-based reasoning, case-based reasoning

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“…As a common form of knowledge representation, rules are used in many intelligent systems and argued convincingly [1][2][3]. In recent years, a lot of hybrid models have integrated rule-based reasoning and other reasoning types (such as case based reasoning, neural network, decision tree, and etc) have been proposed [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Analogy reasoning model for Semantic Link Network

Zhang¹,

Sun²

2010

JDCTA

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Analogy reasoning is one of the most important reasoning means of human thinking. How to implement analogy reasoning automatically with computers has been a hot topic in artificial intelligence and psychology. This paper proposes a mathematic model for analogy reasoning over semantic link network (SLN). We propose a reliable analogy theorem over SLN based on the category theory and some algorithms have been developed to implement analogical reasoning by constructing a semantic functor between SLNs. Meanwhile, we also discuss some analogy conjecture models and algorithms which may be unreliable but useful to giving some suggestions for solving a given problem. A study cases is proposed to show the validity and efficiency of the proposed theorem and the algorithms.

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Critiquing contractors' scheduling by integrating rule-based and case-based reasoning

Cited by 27 publications

References 8 publications

Planning Work Crew Assignments for Pedestrian Area Renovation to Improve Its Impact on the Public

Planning Work Crew Assignments for Pedestrian Area Renovation to Improve Its Impact on the Public

Categorizing approaches combining rule‐based and case‐based reasoning

An Analogy reasoning model for Semantic Link Network

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