Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties

Yang, Jian

doi:10.1016/s0377-2217(99)00441-5

Cited by 680 publications

(495 citation statements)

References 15 publications

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“…Such score ranges show the combined effects of uncertainties in different parameters to the rankings of different options [29]. In recent years, several authors have investigated the application of ER for MCDM problems under uncertainty [28,[31][32][33][34][35] and a significant amount of work has emerged in literature, e.g., motorcycle assessment [26], general cargo ship design [36], software safety synthesis [37], organizational self-assessment [38], risk evaluation [39], location problems [40] and [41], discounting techniques in aerospace design [42], expert systems [43], new product development [44,45] , supplier prioritization [46], decision-making [30,47], and decision support [48].…”

Section: Method: Introduction To Er Approachmentioning

confidence: 99%

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Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

Ahmadzadeh

Bengtsson

2016

Int J Adv Manuf Technol

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The reduction and elimination of maintenancerelated waste is receiving increasing attention because of the negative effect of such waste on production costs. The overall goal of this research is to identify and prioritize factors that can be considered maintenance-related waste within the automotive manufacturing industry. Five manufacturing companies participated in a workshop to identify root causes of maintenance-related waste; 16 categories were found. The identified factors were heavily reliant on human factors as a root or major contributory cause at different levels affecting performance and productivity. For prioritization, the evidential reasoning (ER) approach which is one of the latest developments in multi-criteria decision-making is applied. A basic tree structure necessary for ER assessment is developed based on the workshop results as well as literature on human factors. Then, a survey on basic attributes at the lowest level of this tree is designed and performed at one of the companies participating in the workshop. The application of ER shows that, on an overall level, "management condition" is in first order and "maintainer condition" and "working condition" are in second and third order respectively as the worst cases for creating maintenance-related waste. On the most delimited level "inadequate resources" and "weather/indoor climate" have the highest and lowest average scores respectively in ER ranking or prioritization. This methodology with its resulting ranking can be used as a tool to create awareness for managers seeking to reduce or eliminate maintenancerelated waste.

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Section: Method: Introduction To Er Approachmentioning

confidence: 99%

“…Steps for the overall assessment of the complex general property are suggested by Yang [34] based on DempsterShafer theory [25] and summarized by Pontus et al [49] are as following. The application of Dempster-Shafer theory described on one sub tree (dashed rectangular in Fig.…”

Section: Er Approach Based On Dempster-shafer Theorymentioning

confidence: 99%

Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

Ahmadzadeh

Bengtsson

2016

Int J Adv Manuf Technol

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“…,n). Then, assessment results can be characterized by the following distribution assessment vectors (Yang 2001 …”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

A decision support framework for performance evaluation of Indian technical institutions

Das¹,

Sarkar²,

Ray³

2013

10.5267/j.dsl

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There are many opportunities and challenges in the area of Indian technical education due to liberalization and globalization of economy. One of these challenges is how to assess the performance of technical institutions based on multiple criteria. The purpose of this paper is to describe and illustrate an application of a structured approach to determine relative performance and ranking of seven Indian Institutes of Technology (IITs) under multi-criteria environment. To evaluate the alternatives in respect to stakeholders' preference we suggest a new methodology consisting of fuzzy AHP, DEA and TOPSIS. Fuzzy AHP technique is used to determine the weights of criteria and some linguistic terms are applied to assess performance under each criterion, then in order to determine the value of linguistic terms we use the data envelopment analysis (DEA) method. Finally TOPSIS method is used to aggregate performance scores under different criteria into an overall performance score for each institution and ranking the institution according to their overall performance score. The proposed fuzzy AHP-DEA-TOPSIS methodology is applicable to any multiple criteria decision making (MCDM) problem due to its generic nature.

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“…Based on data of each ward, the numeric values were mapped as linguistic terms for the RIMER system. Then, for each of these 31 indicators, 5 generic linguistic terms were defined as Utility Functions (Yang, 2001). The generic linguistic terms defined in this study were: "VL", "L", " M", "H" and "VH" (from "very low", "low", "medium", "high" and "very high").…”

Section: Case Study 1: Rimer+ and Gwr Empirical Comparisonmentioning

confidence: 99%

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

Calzada¹,

Li²,

Wang³

et al. 2012

Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland

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Urban regeneration (UR) projects encompass complex decision-making processes that usually comprise a great amount of information collected from numerous data sources which may be uncertain, inconsistent or incomplete. Many stakeholders and other actors provide subjective judgments that need to be considered throughout the decision process. Furthermore, most factors involved in regeneration projects (i.e. indicators or alternatives) are geographically referenced, making spatial component a key input in the decision making process. Although there is a substantial body of literature regarding the combination of Geographic Information Systems (GIS) and Decision Support Systems (DSS) to tackle spatial decision problems, there is still a lack of empirical and comparative studies able to measure in real terms the results and effects when using both GIS and DSS together against the use of DSS or GIS technologies alone. This paper utilises, a belief rule-base inference methodology (RIMER) to support the decision-making procedure while handling the large and complex quantitative data along with qualitative information. This research paper considers a spatial analysis along with the RIMER approach for comprehensive analysis of input indicators. The initial finding of the research based on RIMER shows promising results in terms of flexibility, accuracy, and applicability based on some case studies relevant to urban regeneration decision-making problems. This empirical study indicate that RIMERbased DSS can provide a well-established base to implement further research in combination with different GIS methods to effectively handle the UR decision problem from an IT perspective, compared with GWR model in terms of flexibility, interpretation, accuracy, and applicability.

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Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties

Cited by 680 publications

References 15 publications

Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

A decision support framework for performance evaluation of Indian technical institutions

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

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