Data aggregation in constructing composite indicators: A perspective of information loss

Zhou, P.; Fan, Liwei; Zhou, Dequn

doi:10.1016/j.eswa.2009.05.039

Cited by 62 publications

(26 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The field of management science more closely approaches the new paradigm required for a better understanding of meta-projects and strategic, logistic and tactical relationships of project controls. However, thermodynamics offers better developed and parallel schemas with information entropy (Ding & Shi, 2005;Lam, Tang, & Lee, 2005;Zhou, Fan, & Zhou, 2010) in construction and therefore, presents a closer metonymic mapping opportunity.…”

Section: Methodsmentioning

confidence: 98%

“…The particular project team is not privy to all the issues and relevant background history that a stakeholder brings to the table affecting his performance on the team. Asymmetric information is a major force in information gap and information loss (Zhou et al, 2010), as well as a strategic tool. In fact, deliberate asymmetric information is prevalent in construction, a tool of the survival/ growth game, as we shall further explore later in this paper.…”

Section: Methodsmentioning

confidence: 99%

“…Similarly, information entropy (Ding et al, 2009;Zhou et al, 2010) is the destruction, corruption, pollution and depletion of information objects, the opposite of the information characteristics and in general "an impoverishment of reality".…”

Section: Project Production Organization Systemmentioning

confidence: 98%

See 2 more Smart Citations

General contractor's project of projects – a meta-project: understanding the new paradigm and its implications through the lens of entropy

Fernández-Solís

Rybkowski

Xiao

et al. 2014

Architectural Engineering and Design Management

View full text Add to dashboard Cite

Why do Koskela and others argue that the underlying theory of project management (PM) is obsolete? Project management works for the manufacturing industry, and for the construction industry at both the physical production level and the subcontractor level. Stakeholders, including the owner (along with due diligence, and O&M teams), architect (and the design team), general contractor (and its subcontractor team) create, transmit, process, manage and use information. The boundary between information (creation and transmission) and physical production is where PM controls and predicts cost and schedule and where quality controls fail to work as intended. This paper argues that subcontractors give project numbers for the physical part of the project, while general contractors' project numbers are actually a project of projects (those of the subcontractors). The general contractor manages a meta-project (term and definition, as related to building construction, coined by Fernandez-Solis). The meta-project paradigm has significant consequences and is the key to a novel understanding of the general contractor role. Lean construction's percent (or promise) plan complete (PPC) gages the reliability of promises made, is a useful and viable indicator of the quality of the schedule, and serves as a surrogate measure of project flow -how smoothly or chaotically a project runs. The PPC is operationalized as an index that meta-project stakeholders can use to calibrate the reliability of work in progress and provide feedback on the predictability/variability of logistic plans. The methodology of this paper uses conceptual analysis, the metonymic mapping of key concepts from the thermodynamics domain to the construction domain and showcases the concepts through PPC case studies. Information entropy theories are discerned in the PPC reports. In conclusion, scientific information theories, principles and characteristics of flow, in contrast to managerial principles, provide a clearer background for visualizing a novel understanding of the state of the project flow at the meta-project level. It could be argued that this paper is about defining a reference discipline and construed as "construction science viewed through the lens of entropy" but this is not the focus of this paper but the topic of the next.

show abstract

Section: Methodsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

General contractor's project of projects – a meta-project: understanding the new paradigm and its implications through the lens of entropy

Fernández-Solís

Rybkowski

Xiao

et al. 2014

Architectural Engineering and Design Management

View full text Add to dashboard Cite

show abstract

“…Zhou et al . suggested the following formula for calculating weighted distance as

W_{d} = \sum_{i = 1}^{m} \sum_{j = 1}^{n} {|w_{j} {((), normalC I_{i} - I_{ij})}^{p}|}^{1 / p}

where W d is the weighted distance, w j is the normalized weight assigned to subindicator j , CI is the composite indicator, I is the subindex and p > 0, is a user‐controlled parameter . For practical purposes, p is taken as 2.…”

Section: Aggregation To Formulate I‐ Indexmentioning

confidence: 99%

Identifying appropriate aggregation technique for incinerability index

Sebastian

Kumar

Alappat

2018

Env Prog and Sustain Energy

View full text Add to dashboard Cite

A technique to quantify the incinerability of municipal solid waste (MSW) called incinerability index or i‐Index has been developed. Eight input parameters incorporate the 3‐E concept that is, environmental impact, energy recovery, and economy of operation into the index structure, to facilitate the feasibility assessment of waste incineration. Analytic hierarchy process (AHP) gives the relative weightage of the input parameters and normalization of the parameters is performed using rating curves. One of the most crucial stages in the formulation of a composite indicator is the choice of the aggregation technique. While formulating i‐Index, besides ambiguity and eclipsing, the degree of information loss and sensitivity analysis are also considered to choose an aggregation function, which ensures minimal distortion in the output. From the 16 aggregation functions, six are chosen for detailed sensitivity analyses and quantifying the information loss. Based on these studies, the weighted summation technique is concluded to quantify the incinerability of MSW effectively while incorporating the parameter weightages. The incinerability of MSW generated in high‐income, upper‐middle‐income, lower middle‐income, and low‐income countries are subsequently quantified using this function, which amounted to 73, 62.4, 58.4, and 51.2, respectively, on a scale of 0–100. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13068, 2019

show abstract

“…A common practice in constructing a composite index depends on the underlying weighting and aggregation function (Zhou et al 2010). Weights are important measure in quantifying the relative importance of criteria.…”

Section: Determination Of Weightmentioning

confidence: 99%

Construction of a Composite Hospital Admission Index Using the Aggregated Weights of Criteria

Desa¹,

Jemain²,

Kasim³

2015

JSM

View full text Add to dashboard Cite

show abstract

Data aggregation in constructing composite indicators: A perspective of information loss

Cited by 62 publications

References 39 publications

General contractor's project of projects – a meta-project: understanding the new paradigm and its implications through the lens of entropy

General contractor's project of projects – a meta-project: understanding the new paradigm and its implications through the lens of entropy

Identifying appropriate aggregation technique for incinerability index

Construction of a Composite Hospital Admission Index Using the Aggregated Weights of Criteria

Contact Info

Product

Resources

About