Intuitionistic fuzzy interaction Maclaurin symmetric means and their application to multiple-attribute decision-making

The Maclaurin symmetric mean (MSM) can capture the interrelationship among the multi-input arguments and it also can generalize most of the existing operators. Now MSM has been extended to intuitionistic fuzzy sets (IFSs) which can easily express the vague information. However, the operational rules of IFSs used in the extended MSM operator didn’t consider the interaction between the membership function and non-membership function, so there are some weaknesses. In this paper, in order to combine the advantages of the MSM and interaction operational rules of IFSs, we propose the intuitionistic fuzzy interaction Maclaurin symmetric mean (IFIMSM) operator, the intuitionistic fuzzy weighted interaction Maclaurin symmetric mean (IFWIMSM) operator, respectively. Furthermore, we research some desirable properties and some special cases of them. Further, we develop a new method to deal with some multi-attribute group decision-making (MAGDM) problems under intuitionistic fuzzy environment based on these operators. Finally, an illustrative example is given to testify the availability of the developed method by comparing with the other existing methods

Study on the Design of college students’ Employment courses

with social development and technological progress, higher standards and requirements are constantly put forward for talents. traditional employment courses have problems such as lack of pertinence, single content, lack of practice, and lack of communication between teachers and students, which cannot meet the needs of students for employment-related knowledge. centering on students’ career development, the paper designs courses from five aspects: reforming the content and form of employment guidance courses, strengthening the construction of employment guidance service teachers, establishing and perfecting the extracurricular normal personalized employment guidance system, cultivating graduates’ ability to independently plan for the future, and exploring the whole-cycle personalized employment guidance service system

Non-targeted metabolomics and lipidomics LC-MS data from maternal plasma of 180 healthy pregnant women

BACKGROUND: Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy. FINDINGS: In this Data Note, LC–MS metabolome, lipidome and carnitine profiling data were collected from 180 healthy pregnant women, representing six time points spanning all three trimesters, and providing sufficient coverage to model the progression of normal pregnancy. CONCLUSIONS: As a relatively large scale, real-world dataset with robust numbers of quality control samples, the data are expected to prove useful for algorithm optimization and development, with the potential to augment studies into abnormal pregnancy. All data and ISA-TAB format enriched metadata are available for download in the MetaboLights and GigaScience databases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-015-0054-9) contains supplementary material, which is available to authorized users

Large-scale group consensus hybrid strategies with three-dimensional clustering optimization based on normal cloud models

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Large-scale group decision-making (LSGDM) is characterised by a large number of experts and a complex consensus reaching process. Clustering is used to divide the large group into a number of manageable subgroups; however, the simultaneously presence of all subgroup members at the negotiation process is rare. Thus, the selection of subgroup representatives for a smooth negotiation is necessary. Few LSGDM consensus recommendation optimisation models truly consider the problems of subgroup representative selection in their strategy to reach consensus. This article proposes a LSGDM consensus hybrid strategy framework with three-dimension clustering optimisation based on normal cloud models (NCMs) whose aims are threefold: (1) the use of NCMs to represent the imprecision of linguistic preferences provided in real complex decision scenarios with large number of experts; (2) to establish a clustering optimisation method to choose subgroup representatives using three sensible criteria: preference similarity level within the subgroup, preference precision level, and preference consistency level; and (3) to establish two consensus recommendation optimisation strategies for individual negotiation-guided and moderator-guided consensus reaching, respectively. The feasibility and applicability of the proposed method are illustrated via a power curtailment policy assessment example, then some sensitive and comparative analyses are conducted to explicit the effectiveness and advantages of the proposed consensus hybrid strategies

Simulation and Test Analysis on Effect of Current Density on Electrodepositing Minuteness Structure under Supercritical Fluids

This study simulates the electric field of the supercritical electrodepositing system using Comsol software. The effects of the current density on the Ni2+ concentration distribution and the electrodepositing film growth on the cathodic surface are analyzed. The surface morphology and micro-hardness were discussed first. The results show that the electric field is uniformly distributed inside the minuteness groove. The average Ni2+ concentration on the cathodic surface decreases at first, but then increases with the proceeding electrodepositing process; the growth of the electrodepositing films is similar to the distribution of the cathodic current density. The grain size and organization of the Ni-diamond composite electrodepositing minuteness films under supercritical fluid are fine and compact. Moreover, the micro-hardness of the sample reaches 900.75 HV (200 g), a figure that is 70 % higher than that of traditional electrodepositing when the current density is 700 A/m2, the electrodepositing temperature is 323 K, the supercritical pressure is 12 MPa, and the nano-diamond particles content is 30 g/L. DOI: http://dx.doi.org/10.5755/j01.ms.24.2.17612</p

Freeze drying and vacuum impregnating characteristics of Nostoc sphaeroides Kützing

Nostoc sphaeroides Kutzing (N. sphaeroides) is a kind of edible algae widely growing in China. The paper is aimed at developing a novel snack food of N. sphaeroides using vacuum impregnation. The samples from freeze drying (FD) have large volume and loose structure, which were found suitable for processing. With nuclear magnetic resonance and imaging, the water signal of N. sphaeroides was measured in FD, and different drying-stage raw N. sphaeroides were selected to impregnate by different solutions, when the products' impregnated mass, water activity, and flavor difference were analyzed. Results indicate that the water distribution in FD was uniform. Sucrose impregnated product was stable with large impregnated mass and low water activity, whereas trehalose impregnated product was easy to separate from the solution with low sweetness. For the products with the raw N. sphaeroides dried for 9 and 12h, no obvious difference was found in water activity and flavor. Result shows that N. sphaeroides dehydrated for 9h in FD is suitable for vacuum impregnation, and different impregnated products are acceptable from the point of view of flavor and storage stability

Large-Scale Ligand-Free Synthesis of Homogeneous Core-Shell Quantum-Dot-Modified Cs4PbBr6 Microcrystals

An organic ligand-free solution method is developed for preparing homogeneous core shell quantum-dot (QD)-modified pure Cs4PbBr6 microcrystals on a large scale (similar to 12 g) at room temperature. The ligand-free Cs4PbBr6 microcrystals show a high green photoluminescence quantum yield of 76% with 360 nm of excitation light, which is attributed to their unique microarchitecture, with several features including quantum confinement of the outer QDs, stability of the inner Cs4PbBr6 microcrystals, improved light trapping, and interfacial recombination. UV-vis-near-IR and photoluminescence analyses provide valued evidence to support the ligand-free Cs4PbBr6 with synergy between the QDs and microcrystals