195 research outputs found
Learning consumer preferences from online textual reviews and ratings based on the aggregation-disaggregation paradigm with attitudinal Choquet integral
Online reviews contain a wealth of information about customers’ concerns
and sentiments. Sentiment analysis can mine consumer preferences
and satisfaction over products/services. Most existing studies on
sentiment analysis only considered how to extract attribute types or
attribute values of products/services from textual reviews, but ignored
the role of attribute-level ratings in reflecting consumer preferences
and satisfaction. Based on sentiment analysis and preference disaggregation,
this paper unifies the quantitative and qualitative information
extracted from attribute-level ratings and textual reviews, respectively,
to obtain attribute types and attribute values of products/services. To
acquire individual consumer preferences concerning product/service
attributes, this paper proposes a method within an aggregation-disaggregation
paradigm based on the attitudinal Choquet integral to
transform overall online ratings into the form of pairwise comparisons.
Compared with the additive value function used in most studies, more
consumer preferences in terms of the importance of attributes, the
interactions between pairwise attributes, and the tolerance of consumers
to make compensation between attribute values in the aggregation
process can be deduced by our proposed method. Several real
cases on TripAdvisor.com are given to show the applicability of the
proposed method
Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method
Underground mining method selection is a critical decision problem for available underground
ore deposits in exploitation design. As many comprehensive factors, such as physical parameters, economic
benefits, and environmental effects, are claimed to be established and a group of experts are involved in the
issue, the underground mining method selection is deemed as a multiple experts multiple criteria decision
making problem. Classical mining method assessment exists some gaps due to the way of representing
opinions. To address this matter, a hesitant fuzzy linguistic gained and lost dominance score method is
investigated in this paper. To enhance the flexibility and gain more information, mining planning engineers
are allowed to convey their knowledge using hesitant fuzzy linguistic term sets in the underground mining
method selection process. A novel score function of hesitant fuzzy linguistic term set is introduced to compare any hesitant fuzzy linguistic term sets. Then, based on the score function, a weight determining function
is proposed to calculate the weights of criteria, which can magnify the ‘‘importance’’ and ‘‘unimportance’’
of criteria. To select the mining method, the hesitant fuzzy linguistic gained and dominance score method
is developed. A case study concerning selecting a extraction method for a real mine in Yunnan province of
China is presented to illustrate the applicability of the proposed method. The effectiveness of the proposed
method is finally verified by comparing with other ranking methodsNational Natural Science Foundation of China under Grant 71501135 and Grant 717711562019 Sichuan Planning Project of Social Science under Grant SC18A0072018 Key Project of the Key Research
Institute of Humanities and Social Sciences in Sichuan Province under Grant Xq18A01 and Grant LYC18-02Electronic
Commerce and Modern Logistics Research Center Program, Key Research Base of Humanities and Social Science, Sichuan Provincial
Education Department, under Grant DSWL18-2Spark Project of Innovation, Sichuan University, under Grant 2018hhs-43Scientific Research Foundation for Excellent Young Scholars, Sichuan University, under Grant 2016SCU04A23
Effect of Strain on Thermal Conductivity of Si Thin Films
Nonequilibrium molecular dynamics (NEMD) simulations are employed to gain an understanding of the effect of strain on the thermal conductivity of Si thin films. The analysis shows that the strain has an appreciable influence on the thermal conductivity of Si thin films. The thermal conductivity decreases as the tensile strain increases and increases as the compressive strain increases. The decrease of the phonon velocities and surface reconstructions generated under strain could explain well the effects of strain on the thermal conductivity of Si thin films
Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing
Analytic hierarchy process (AHP), as one of the most important methods to tackle multiple
criteria decision-making problems, has achieved much success over the past several decades. Given that
linguistic expressions are much closer than numerical values or single linguistic terms to a human way of
thinking and cognition, this paper investigates the AHP with comparative linguistic expressions. After providing
the snapshot of classical AHP and its fuzzy extensions, we propose the framework of hesitant
fuzzy linguistic AHP, which shows how to yield a decision for qualitative decision-making problems with
complex linguistic expressions. First, the comparative linguistic expressions over criteria or alternatives
are transformed into hesitant fuzzy linguistic elements and then the hesitant fuzzy linguistic preference
relations (HFLPRs) are constructed. Considering that HFLPRs may be inconsistent, we conduct consistency
checking and improving processes after obtaining priorities from the HFLPRs based on a linear programming
method. Regarding the consistency-improving process, we develop a new way to establish a perfectly
consistent HFLPR. The procedure of the hesitant fuzzy linguistic AHP is given in stepwise. Finally,
a numerical example concerning the used-car management in a lemon market is given to illustrate the
ef ciency of the proposed hesitant fuzzy linguistic AHP method.This work was supported in part by the National Natural Science Foundation of China under Grant 71771156, in part by the 2019 Sichuan
Planning Project of Social Science under Grant SC18A007, in part by the 2019 Soft Science Project of Sichuan Science and Technology
Department under Grant 2019JDR0141, and in part by the Project of Innovation at Sichuan University under Grant 2018hhs-43
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 (organísation,
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)
Hesitant fuzzy linguistic DNMA method with cardinal consensus reaching process for shopping mall location selection
The hesitant fuzzy linguistic term set is an effective tool to express qualitative evaluations since it is close to human reasoning and expressing habits. In this paper, we propose a multi-expert multi-criterion decision-making method integrating the double normalization-based multi-aggregation (DNMA) method with a cardinal consensus reaching process, where the assessments of alternatives over multiple criteria are expressed as hesitant fuzzy linguistic term sets. To do so, the DNMA method involving double normalizations and three aggregation tools is extended to deal with the hesitant fuzzy linguistic information and derive the ranking of alternatives with respect to each expert. In addition, a cardinal consensus reaching process is introduced to help experts reach an acceptable consensus level. In other words, the soft consensus is considered in the multi-expert multi-criterion decision-making process. Subsequently, an extended Borda rule is developed to aggregate the subordinate ranks and integrated scores of alternatives, and then deduce the comprehensive ranking of alternatives. A case study is given to illustrate the practicability of the proposed method for selecting the optimal geographical location of a larger-scale shopping mall in the new urbanization for a construction investment agency. The proposed method is compared with other ranking methods to illustrate its advantages
Controlled Synthesis of Organic/Inorganic van der Waals Solid for Tunable Light-matter Interactions
Van der Waals (vdW) solids, as a new type of artificial materials that
consist of alternating layers bonded by weak interactions, have shed light on
fascinating optoelectronic device concepts. As a result, a large variety of vdW
devices have been engineered via layer-by-layer stacking of two-dimensional
materials, although shadowed by the difficulties of fabrication. Alternatively,
direct growth of vdW solids has proven as a scalable and swift way, highlighted
by the successful synthesis of graphene/h-BN and transition metal
dichalcogenides (TMDs) vertical heterostructures from controlled vapor
deposition. Here, we realize high-quality organic and inorganic vdW solids,
using methylammonium lead halide (CH3NH3PbI3) as the organic part (organic
perovskite) and 2D inorganic monolayers as counterparts. By stacking on various
2D monolayers, the vdW solids behave dramatically different in light emission.
Our studies demonstrate that h-BN monolayer is a great complement to organic
perovskite for preserving its original optical properties. As a result,
organic/h-BN vdW solid arrays are patterned for red light emitting. This work
paves the way for designing unprecedented vdW solids with great potential for a
wide spectrum of applications in optoelectronics
A q-rung orthopair fuzzy GLDS method for investment evaluation of BE angel capital in China
As a generalized form of both intuitionistic fuzzy set and Pythagorean fuzzy sets, the q-rung orthopair fuzzy set (q-ROFS) has strong ability to handle uncertain or imprecision decisionmaking problems. This paper aims to introduce a new multiple criteria decision making method based on the original gain and lost dominance score (GLDS) method for investment evaluation. To do so, we first propose a new distance measure of q-rung orthopair fuzzy numbers (q-ROFNs), which takes into account the hesitancy degree of q-ROFNs. Subsequently, two methods are developed to determine the weights of DMs and criteria, respectively. Next, the original GLDS method is improved from the aspects of dominance flows and order scores of alternatives to address the multiple criteria decision making problems with q-ROFS information. Finally, a case study concerning the investment evaluation of the BE angle capital is given to illustrate the applicability and superiority of the proposed method
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