Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems

Zaras, Kazimierz

doi:10.1016/s0377-2217(03)00391-6

Cited by 79 publications

(41 citation statements)

References 7 publications

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“…This multi-attribute analysis thus consists of evaluating individually each of a set of projects in terms of the influence of each conditional attribute that could have an influence on success. Secondly, decisional attributes represented by performance indicators as used in the dominance-based rough set approach [12] [13] are added to the model to measure impact of implementation. We have chosen this artificial intelligence tool because it allows "if... then…" type decision rules to be deduced from examples.…”

Section: Methodsmentioning

confidence: 99%

Innovative Mining Equipment: Key Factors for Successful Implementation

Boudreau-Trudel¹,

Nadeau²,

Zaras³

2015

AJIBM

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With increasing social pressures over the past two decades, mining companies have become more concerned with occupational health and safety (OHS). This change in mentality has had an impact on the choice of new equipment introduced underground. Introduction of innovative mining equipment must now meet the double challenge of improving both productivity and OHS. However, innovative equipment does not by itself ensure success. The aim of this study is to identify the key factors that underlie successful introduction of new equipment in underground mines. We used a multi-attribute decision-aid tool, namely the dominance-based rough-set approach. Ten innovative equipment projects carried out in an underground mine in Quebec were analysed. The tool allowed simultaneous identification of the most relevant factors and critical thresholds thereof to establish levels of performance based on four indicators, namely cost per meter drilled, cost per hour of use, availability ratio and accident rate. Two factors were found most relevant to all four indicators of performance: the skill requirement and acceptance of the equipment by the operators. Seat quality was identified as a contributor to improving accident rate, while standardisation of the new equipment relative to the old contributed to productivity. Taking into consideration these key factors and their critical threshold values will help the directors of the participating mine to meet with success in terms of both productivity and OHS in future introduction of innovative equipment projects.

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Section: Methodsmentioning

confidence: 99%

Innovative Mining Equipment: Key Factors for Successful Implementation

Boudreau-Trudel¹,

Nadeau²,

Zaras³

2015

AJIBM

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“…Nevertheless, situations do arise, especially in strategic planning problems, when uncertainty is as critical as the issue of conflicting management goals. In such cases, approaches designed for MDMU become necessary, for instance (a) the multi-attribute utility theory, (b) pairwise comparisons of probability distributions, (c) the use of surrogate risk measures (quantiles, variances) as additional decision criteria, (d) models combining fuzzy numbers with the analytic hierarchy process, (e) fuzzy TOPSIS, and (f) the integration of MDMU and scenario planning (SP) (Ben Amor et al 2007;Dominiak 2009;Durbach 2014;Durbach, Stewart 2012;Keeney, Raiffa 1993;Liu et al 2011;Michnik 2013b;Stewart 2005;Triantaphyllou, Lin 1996;Urli, Nadeau 2004;Watkins et al 2000;Xu 2000;Yu 2002;Zaras 2004). (Durbach, Stewart 2012) state that uncertainties become increasingly so complex that the elicitation of measures such as probabilities, belief functions or fuzzy membership functions becomes operationally difficult for DMs to comprehend and virtually impossible to validate.…”

Section: Multicriteria Decision Making With Scenario Planningmentioning

confidence: 99%

The Use of a Modification of the Hurwicz’s Decision Rule in Multicriteria Decision Making Under Complete Uncertainty

Gaspars-Wieloch

2014

Business, Management and Education

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The paper concerns multicriteria decision making under uncertainty with scenario planning. This topic is explored by many researchers because almost all real-world decision problems have multiple conflicting criteria and a deterministic criteria evaluation is often impossible (e.g. mergers and acquisitions, new product development). We propose two procedures for uncertain multi-objective optimization (for dependent and independent criteria matrices) which are based on the SAPO method – a modification of the Hurwicz’s rule for one-criterion problems, recently presented in another paper. The new approaches take into account the decision maker’s preference structure and attitude towards risk. It considers the frequency and the level of extreme evaluations and generates logic rankings for symmetric and asymmetric distributions. The application of the suggested tool is illustrated with an example of marketing strategies selection.

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“…Rough Set Theory was originally proposed by [4] before being further developed by [8,10] and others. The proposal of [8] ensures that the principle of dominance is respected and it's called Dominance-based Rough Set Approach (DRSA).…”

Section: Descriptionmentioning

confidence: 99%

Dominance-Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects

Zaras¹,

Marin²,

Boudreau-Trude³

2012

AJOR

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In our study, the Dominance-based Rough Set Approach (DRSA) has been proposed to assist the Board of Directors of the Community Futures Development Corporations (CFDC), the sub-region of Abitibi-West (Quebec). The CFDC needs a tool for decision support to select the projects that are proposed by the contractors and partners of its territory. In decision making, a balanced set of 22 indicators is considered. These indicators derive from five perspectives: economic, social, demographic, health and wellness. The DRSA proposal is suitable for the data processing with multiple indicators providing on many examples to infer decision rules related to the preference model. In this paper we show that decision rules developed with the use of rough set theory allow us to simplify the process of selecting a portfolio for sustainable development by reducing a number of redundant indicators and identifying the critical values of selected indicators.

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Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems

Cited by 79 publications

References 7 publications

Innovative Mining Equipment: Key Factors for Successful Implementation

Innovative Mining Equipment: Key Factors for Successful Implementation

The Use of a Modification of the Hurwicz’s Decision Rule in Multicriteria Decision Making Under Complete Uncertainty

Dominance-Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects

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