promethee ii method example


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<< 0000011120 00000 n 0000001151 00000 n PROMETHEE II method to tackle this complex location selection decision-making problem. /Thumb 13 0 R /Type /Pages 0000001913 00000 n /Type /Page 0000006651 00000 n

PROMETHEE gives you scores and you can compute complete and partial rankings

0000077679 00000 n Die Beispieldatei können Sie zusammen mit dem Artikel herunterladen.

An example demonstrates the usability and validity of the proposed method. << /CropBox [0 0 595.2199707031 842] Recall that according to the theorem all 5 conditions cannot be satisfied at the same time. 0000001330 00000 n 2. trailer 4 0 obj 0000004715 00000 n >> /Type /Page

3.1 . 0000010513 00000 n and significance of the multi-criteria method evaluation using a real example.

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0000000016 00000 n The PROMETHEE II method utilizes the net flow as …

The flow score is computed as difference between the positive flow and negative flow we calculate the differences in all criteria for all pairs of alternatives: 0000009568 00000 n /Version /1.4

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<< In GAIA, a clear graphical representation of …

0000000016 00000 n /Kids [3 0 R 4 0 R 5 0 R] 0000003384 00000 n >> This is a method from the family of outranking (i.e.

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/Rotate 0 /MediaBox [0 0 595.2199707031 842] 3. 0000000736 00000 n For each $a_i, a_j \in A$ we compute net flow scores

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0000009568 00000 n The triangular fuzzy number and ranking method are integrated into the PROMETHEE II method. Additionally, comments about potential rank reversal occurrences are provided. /Resources 11 0 R based on pair-wise comparison) MCDA methods.

PROMETHEE stands for P reference R anking O rganization METH od for E … stream

PROMETHEE II and fuzzy TOPSIS methods. /Parent 2 0 R
0000011120 00000 n >> This gives a completely ordered preference structure
The PROMETHEE II method is an MADM method based on outranking relations. 0000003705 00000 n /Type /Page 0000001071 00000 n

Promethee ist eine solche Methode. This page was last modified on 9 February 2014, at 20:54.

The PROMETHEE (preference ranking organization method for enrichment evaluation)

0000001330 00000 n /Rotate 0 /Thumb 10 0 R The Preference Ranking Organization METHod for Enrichment of Evaluations and its descriptive complement geometrical analysis for interactive aid are better known as the Promethee and Gaia methods.

Functions which can be used to support the Multicriteria Decision Analysis (MCDA) process involving multiple criteria, by PROMETHEE (Preference Ranking Organization METHod for Enrichment of … … 13 PROMETHEE II. /Pages 2 0 R

/Resources 8 0 R trailer 0000005651 00000 n %PDF-1.4 Different criteria can be laid down, i.e.

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The same example is considered here to demonstrate the applicability and effectiveness of PROMETHEE II method as a MCDM tool. 0000002671 00000 n 0000077679 00000 n

PROMETHEE Method Preference function based outranking method is a special type of MCDM tool that can provide a ranking ordering of the decision options.

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< 7 An example of PROMETHEE Let us illustrate the PROMETHEE method with the problem of choosing a car. xref

Das Verfahren leitet sich von der Nutzwertanalyse ab, ist aber genauer als diese. based on pair-wise comparison) Note that since we perform pair-wise comparisons, it may become computationally very expensive We do this for all pairs and build a preference matrix

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0000003629 00000 n 0000003121 00000 n 0000007614 00000 n /StructParents 87 0000001913 00000 n September 2018 with 1,025 Reads How we measure 'reads' A 'read' is counted each time someone views a … In PROMETHEE: Preference Ranking Organization METHod for Enrichment of Evaluations. 48 0 obj<> endobj 6 0 obj Based on mathematics and sociology, the Promethee and Gaia method was developed at the beginning of the 1980s and has been extensively studied and refined since then. Description.

The logistic evaluation of the countries is performed according to 20 evaluation criteria forming the basis for supply chain logistic evaluation.

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Next we compute the positive and negative net flow scores: 0000008572 00000 n

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/Contents 12 0 R < 48 22 0000003384 00000 n 0000002671 00000 n Next step: compute global preference degree for all pairs of alternatives

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