29 research outputs found
Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations
Electric vehicles (EVs) could be regarded as one of the most
innovative and high technologies all over the world to cope with
the fossil fuel energy resource crisis and environmental pollution
issues. As the initiatory task of EV charging station (EVCS) construction,
site selection play an important part throughout the
whole life cycle, which is deemed to be multiple attribute group
decision making (MAGDM) problem involving many experts and
many conflicting attributes. In this paper, a grey relational analysis
(GRA) method is investigated to tackle the probabilistic uncertain
linguistic MAGDM in which the attribute weights are completely
unknown information. Firstly, the definition of the expected value
is then employed to objectively derive the attribute weights
based on the CRiteria Importance Through Intercriteria Correlation
(CRITIC) method. Then, the optimal alternative is chosen by calculating
largest relative relational degree from the probabilistic
uncertain linguistic positive ideal solution (PULPIS) which considers
both the largest grey relational coefficient from the PULPIS and the
smallest grey relational coefficient from the probabilistic uncertain
linguistic negative ideal solution (PULNIS). Finally, a numerical
case for site selection of electric vehicle charging stations (EVCS) is
designed to illustrate the proposed method. The result shows the
approach is simple, effective and easy to calculate
Green supplier selection based on CODAS method in probabilistic uncertain linguistic environment
Probabilistic uncertain linguistic sets (PULTSs) have widely been used in MADM or MAGDM. The CODAS method, which is a novel MADM or MAGDM tool, aims to acquire the optimal choice which have the largest Euclidean & Hamming distances from the NIS. This paper designs the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight. Finally, a numerical example for green supplier selection is given and the obtained results are compared with some existing models.
First published online 05 February 202
Wasserstein distance-based probabilistic linguistic TODIM method with application to the evaluation of sustainable rural tourism potential
The evaluation of sustainable rural tourism potential is a key work
in sustainable rural tourism development. Due to the complexity
of the rural tourism development situation and the limited cognition of people, most of the assessment problems for sustainable
rural tourism potential are highly uncertain, which brings challenges to the characterisation and measurement of evaluation
information. Besides, decision-makers (DMs) usually do not exhibit
complete rationality in the practical evaluation process. To tackle
such problems, this paper proposes a new behaviour multi-attribute group decision-making (MAGDM) method with probabilistic
linguistic terms sets (PLTSs) by integrating Wasserstein distance
measure into TODIM (an acronym in Portuguese of interactive
and multicriteria decision making) method. Firstly, a new
Wasserstein-based distance measure with PLTSs is defined, and
some properties of the proposed distance are developed.
Secondly, based on the correlation coefficient among attributes
and standard deviation of each attribute, an attribute weight
determination method (called PL-CRITIC method) is proposed.
Subsequently, a Wasserstein distance-based probabilistic linguistic
TODIM method is developed. Finally, the proposed method is
applied to the evaluation of sustainable rural tourism potential,
along with sensitivity and comparative analyses, as a means of
illustrating the effectiveness and advantages of the new method
Integrated Frameworks for Effective Multi-criteria Decision Making in Reliability Centred Maintenance of Industrial Machines
No abstract availabl
An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization
The tension brought about by sickbeds is a common and intractable issue in public hospitals
in China due to the large population. Assigning the order of hospitalization of patients is difficult
because of complex patient information such as disease type, emergency degree, and severity. It is
critical to rank the patients taking full account of various factors. However, most of the evaluation
criteria for hospitalization are qualitative, and the classical ranking method cannot derive the detailed
relations between patients based on these criteria. Motivated by this, a comprehensive multiple
criteria decision making method named the intuitionistic multiplicative ORESTE (organĂsation,
rangement et Synthèse dedonnées relarionnelles, in French) was proposed to handle the problem.
The subjective and objective weights of criteria were considered in the proposed method. To do
so, first, considering the vagueness of human perceptions towards the alternatives, an intuitionistic
multiplicative preference relation model is applied to represent the experts’ preferences over the
pairwise alternatives with respect to the predetermined criteria. Then, a correlation coefficient-based
weight determining method is developed to derive the objective weights of criteria. This method
can overcome the biased results caused by highly-related criteria. Afterwards, we improved the
general ranking method, ORESTE, by introducing a new score function which considers both the
subjective and objective weights of criteria. An intuitionistic multiplicative ORESTE method was
then developed and further highlighted by a case study concerning the patients’ prioritization.The work was supported by the National Natural Science Foundation of China (71501135,
71771156, 71532007), the Scientific Research Foundation for Excellent Young Scholars at Sichuan University (No.
2016SCU04A23), and the Grant from the FEDER funds (No. TIN2016-75850-R)
Frank Aggregation Operators for Triangular Interval Type-2 Fuzzy Set and Its Application in Multiple Attribute Group Decision Making
This paper investigates an approach to multiple attribute group decision-making (MAGDM) problems, in which the individual assessments are in the form of triangle interval type-2 fuzzy numbers (TIT2FNs). Firstly, some Frank operation laws of triangle interval type-2 fuzzy set (TIT2FS) are defined. Secondly, some Frank aggregation operators such as the triangle interval type-2 fuzzy Frank weighted averaging (TIT2FFWA) operator and the triangle interval type-2 fuzzy Frank weighted geometric (TIT2FFWG) operator are developed for aggregation TIT2FNs. Furthermore, some desirable properties of the two aggregation operators are analyzed in detail. Finally, an approach based on TIT2FFWA (or TIT2FFWG) operator to solve MAGDM is developed. An illustrative example about supplier selection is provided to illustrate the developed procedures. The results demonstrate the practicality and effectiveness of our new method
Fuzzy Techniques for Decision Making 2018
Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches
Optimization for Decision Making II
In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner