Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables

Wang, Lidong; Liao, Binquan; Liu, Xiaodong; Liu, Jingxia

doi:10.1142/s0218001417590169

Cited by 13 publications

(2 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Haung and Chen [24] used ELECTRE II method to show the application and analysis of differentiation methodology. Wang et al [25] proposed the possibility-based ELECTRE II method with uncertain linguistic fuzzy variables. Liao et al [26] presented two new approaches based on ELECTRE II to solve the multiple criteria decision making problems with hesitant fuzzy linguistic terms.…”

Section: Introductionmentioning

confidence: 99%

Multiple-Attribute Decision Making ELECTRE II Method under Bipolar Fuzzy Model

2019

View full text Add to dashboard Cite

The core aim of this paper is to provide a new multiple-criteria decision making (MCDM) model, namely bipolar fuzzy ELimination and Choice Translating REality (ELECTRE) II method, by combining the bipolar fuzzy set with ELECTRE II technique. It can be used to solve the problems having bipolar uncertainty. The proposed method is established by defining the concept of bipolar fuzzy strong, median and weak concordance as well as discordance sets and indifferent set to define two types of outranking relations, namely strong outranking relation and weak outranking relation. The normalized weights of criteria, which may be partly or completely unknown for decision makers, are calculated by using an optimization technique, which is based on maximizing deviation method. A systematic iterative procedure is applied to strongly outrank as well as weakly outrank graphs to determine the ranking of favorable actions or alternatives or to choose the best possible solution. The implementation of the proposed method is presented by numerical examples such as selection of business location and to chose the best supplier. A comparative analysis of proposed ELECTRE II method is also presented with already existing multiple-attribute decision making methods, including Technique for the Order of Preference by Similarity to an Ideal Solution (TOPSIS) and ELECTRE I under bipolar fuzzy environment by solving the problem of business location.

show abstract

Section: Introductionmentioning

confidence: 99%

Multiple-Attribute Decision Making ELECTRE II Method under Bipolar Fuzzy Model

2019

View full text Add to dashboard Cite

show abstract

“…The ELECTRE II method, which is a MADM method based on an outranking relation [ 20 ], can solve problems whose attributes’ relationship is partially compensatory. With such an advantage, it has been extended into different environments, such as fuzzy environment [ 21 ], intuitionistic fuzzy environment [ 22 ], hesitant fuzzy environment [ 23 ], linguistic environment [ 24 ], and interval 2-tuple linguistic environment [ 25 ]. However, these ELECTRE II methods cannot adequately portray the characteristics of expert consultation and situations with lots of uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Therapeutic Schedule Evaluation for Brain-Metastasized Non-Small Cell Lung Cancer with A Probabilistic Linguistic ELECTRE II Method

Pan

Ren

Zhang

2018

IJERPH

View full text Add to dashboard Cite

With the rapid development of modern medicine, therapeutic schedules of brain-metastasized non-small cell lung cancer (NSCLC) are expanding. To assist a patient who suffers from brain-metastasized NSCLC to select the most suitable therapeutic schedule, firstly, we establish an indicator system for evaluating the therapeutic schedules; then, we propose a probabilistic linguistic ELECTRE II method to handle the corresponding evaluation problem for the following reasons: (1) probabilistic linguistic information is effective to depict the uncertainty of the therapeutic process and the fuzziness of an expert’s cognition; (2) the ELECTRE II method can deal with evaluation indicators that do not meet a fully compensatory relationship. Simulation tests on the parameters in the proposed method are provided to discuss their impacts on the final rankings. Furthermore, we apply the proposed method to help a patient with brain-metastasized NSCLC at the Sichuan Cancer Hospital and Institute to choose the optimal therapeutic schedule, and we present some sensitive analyses and comparative analyses to demonstrate the stability and applicability of the proposed method.

show abstract