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Interval Type-2 Fuzzy AHP: A Multicriteria Wind Turbine Selection
Published in Ali Emrouznejad, William Ho, Fuzzy Analytic Hierarchy Process, 2017
Cengiz Kahraman, Başar Öztayşi, Sezi Çevik Onar
Chen et al. (2013) develop an extended QUALIFLEX method for handling multiple criteria decision-making problems in the context of IT2 fuzzy sets. QUALIFLEX, a generalization of Jacquet–Lagreze's permutation method, is a useful outranking method in decision analysis because of its flexibility with respect to cardinal and ordinal information. Using the linguistic rating system converted into IT2 trapezoidal fuzzy numbers, the extended QUALIFLEX method investigates all possible permutations of the alternatives with respect to the level of concordance of the complete preference order. Based on a signed distance-based approach, they propose the concordance/discordance index, the weighted concordance/discordance index, and the comprehensive concordance/discordance index for ranking the alternatives. This paper extends QUALIFLEX using type-2 fuzzy sets for the first time.
A Multi-Criteria Decision-Making Model for Agricultural Machinery Selection
Published in Anil Kumar, Jose Arturo Garza-Reyes, Syed Abdul Rehman Khan, Circular Economy for the Management of Operations, 2020
Ali Jahan, Alireza Panahandeh, Hadi Lal Ghorbani
Pure concordance index (Ci) Ci=∑k=1mCIi,k-∑k=1mCIk,i(i≠k)
Elimination and Choice Translating Reality (ELECTRE)
Published in Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar, Advanced Optimization and Decision-Making Techniques in Textile Manufacturing, 2019
Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar
The ELECTRE method deals with the “outranking relations” by means of pair-wise comparisons among alternatives under each one of the criteria separately. An interpretation of the outranking relationship of the two alternatives Ai and Aj, denoted by Ai → Aj, as given by Roy (1991) is that even when the ith alternative does not dominate the jth alternative quantitatively, then the decision maker may still take the risk of regarding Ai as almost surely better than Aj. Alternatives are considered to be dominated if there is another alternative that surpasses them in one or more criteria and equals the remaining criteria (Triantaphyllou, 2000). All criteria in different alternatives split into two different subsets, namely, the concordance set and the discordance set. The former is composed of the set of criteria for which alternative Ai outranks or dominates alternative Aj, and the latter is the complementary subset. In the process of successive evaluations of the outranking relations of the alternatives, the ELECTRE method obtains the concordance index, defined as the amount of evidence to support the conclusion that Ai dominates alternative Aj. The counterpart of the concordance index is the discordance index. In due course, the ELECTRE method yields a system of binary outranking relations between the alternatives. In this method, less favorable alternatives are basically eliminated, but sometime it is unable to identify the most preferred alternative. There are many versions of the ELECTRE method. The principle of the original version of the ELECTRE method is discussed in the following steps.
An interval type-2 fuzzy QUALIFLEX approach to measure performance effectiveness of ballast water treatment (BWT) system on-board ship
Published in Ships and Offshore Structures, 2019
Hakan Demirel, Emre Akyuz, Erkan Celik, Fuat Alarcin
In Step Q9, first, the concordance/discordance index is constructed for each using Equation (7). The concordance/discordance index for and are calculated as follows: ,The concordance/discordance index for all permutations are shown in Appendix, in column 2. Second, the ranking value distance is calculated for each using Equation (8). The results for ranking value distances are shown in Appendix, in column 3. The signed distances for , and .
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial
Published in Applied Artificial Intelligence, 2020
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden, David Hodgson
The concordance index (c-index) was proposed by Harrell, Lee, and Mark (1996). It is one of the most popular performance measures for survival problems (Chen et al. 2012; Katzman 2017; Steck et al. 2008) as it elegantly accounts for the censored data. It is defined as the proportion of all usable patient pairs in which the predictions and outcomes are concordant. Pairs are said to be concordant if the predicted event times have a concordant ordering with the observed event times.
Faulted-Phase Identification in TCSC-Compensated Transmission Lines using Concordance Correlation Coefficient-Based Method
Published in Electric Power Components and Systems, 2021
Mohammed H. H. Musa, Abusabah I. A. Ahmed
The selected fault simulated at 110 km from Bus 1, started at 1.25 s and continued for 100 ms after the fault registered. The TCSC compensation level is chosen to be 75%. Figures 7(a) and 7(b) shows the concordance correlation coefficient, concordance index and its output. The figure confirms the distinctness of the method against HIF, where it obvious that the fault is detected correctly within 7.5 ms as it shown in Figure 7(d).