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Interval-valued 2-tuple hesitant fuzzy linguistic term set and its application in multiple attribute decision making

  • Si, Guangsen
  • Liao, Huchang
  • Yu, Dejian
  • Llopis Albert, Carlos|||0000-0002-1349-2716
[EN] The hesitant fuzzy linguistic term sets can retain the completeness of linguistic information elicitation by assigning a set of possible linguistic terms to a qualitative variable. However, sometimes experts cannot make sure that the objects attain these possible linguistic terms but only provide the degrees of confidence to express their hesitant cognition. Given that the interval numbers can denote the possible membership degrees that an object belongs to a set, it is suitable and convenient to provide an interval-valued index to measure the degree of a linguistic variable to a given hesitant fuzzy linguistic term set. Inspired by this idea, we introduce the concept of interval-valued 2-tuple hesitant fuzzy linguistic term set (IV2THFLTS) based on the interval number and the hesitant fuzzy linguistic term set. Then, we define some interval-valued 2-tuple hesitant fuzzy linguistic aggregation operators. Afterwards, to overcome the instability of subjective weights, we propose a method to compute the weights of attributes. For the convenience of application, a method is given to solve the multiple attribute decision making problems with IV2THFLTSs. Finally, a case study is carried out to validate the proposed method, and some comparisons with other methods are given to show the advantages of the proposed method., The work was supported in part by the National Natural Science Foundation of China (Nos. 71501135, 71771156), the China Postdoctoral Science Foundation (2016T90863, 2016M602698), the Fundamental Research Funds for the central Universities (No. YJ201535), and the Scientific Research Foundation for Excellent Young Scholars at Sichuan University (No. 2016SCU04A23).

Trip Characteristics Analysis of the Effects of a Travel Behavior Change Program

  • Arroyo-López, María Rosa
  • Ruiz Sánchez, Tomás
  • Casquero-Soler, Daniel Carlos
  • Mars, Lidón
[EN] Travel behavior change programs (TBCP) are measures or actions specifically designed to motivate people to reduce their car use. This study contributes to the literature on rigorous evaluation of the effects of participating in TBCP. In particular, we analyze the effect of TBCP in relation to a potential for a reduction in car use. In contrast to previous studies, the effect of TBCP is analyzed considering two characteristics of the trip: travel companion and time of trip. The TBCP, consisting of three persuasion actions customized to the needs of the participants in the research, was designed and implemented in Valencia (Spain). To evaluate the effects of participating in the TBCP, a two-wave panel survey was carried out, which collected activity-travel scheduling process data from participants before and after the implementation of the TBCP. To properly identify the effects of taking part in the TBCP, participants were divided into two groups: those who were involved in the TBCP, and those who did not participate in any persuasion action (control group, CG). Descriptive and confirmatory analysis, which included the use of sample selection panel data models with treatment effects and random parameters, have been developed. The results suggest that the individuals most affected by participating in TBCP are those carrying out solo and afternoon trips. If traveling with companions, those who do so with household members are more influenced by participating in TBCP. Important research and transportation policy implications are derived from these results., This study has been partially funded by the Ministerio de Economia, Industria y Competitividad of Spain, project MINERVA (TRA2015-71184-C2-1-R).

Projections for generalized inverses

  • Xu, Sanzhang
  • Chen, Chianlong
  • Benítez López, Julio
[EN] Let R be a unital ring with involution. In Section 2, for given two core invertible elements a, b. R, we investigate mainly the absorption law for the core inverse in virtue of the equality of the projections aa and .In Section 3, we study several relations concerning the projections a a and bb , where a . a{1, 2, 4} and b . b{1, 2, 3}. Some well- known results are extended to the *- reducing ring case. As an application, EP elements in a *- reducing ring are considered., This research was supported by the National Natural Science Foundation of China [grant number 11371089]. The first author is grateful to China Scholarship Councilor giving him a scholarship for his further study in Universitat Politecnica de Valencia Spain.

Innovation and service-dominant logic

  • Huarng, Kun-Huang
  • Cervera, Amparo
  • Mas Verdú, Francisco
[EN] Radical changes have occurred in innovation management. Traditional goods-dominant logic has shifted to service-dominant logic, where value is created for use instead of exchange. Customers are tied to organizations to co-create value. The focus of this special issue is on high quality, original, unpublished research, case studies, and implementation experiences. The issues are covered, including the collaborative workplaces for innovation in service companies, the financial crisis in hospitality industry, the role of quality management in innovation, and the value logic in service.

Large-scale Production of Recombinant RNAs on a Circular Scaffold Using a Viroid-derived System in Escherichia coli

  • Cordero-Cucart, María Teresa
  • Aragonés, V.
  • Daros Arnau, Jose Antonio
[EN] With increasing interest in RNA biology and the use of RNA molecules in sophisticated biotechnological applications, the methods to produce large amounts of recombinant RNAs are limited. Here, we describe a protocol to produce large amounts of recombinant RNA in Escherichia coli based on co-expression of a chimeric molecule that contains the RNA of interest in a viroid scaffold and a plant tRNA ligase. Viroids are relatively small, non-coding, highly base-paired circular RNAs that are infectious to higher plants. The host plant tRNA ligase is an enzyme recruited by viroids that belong to the family Avsunviroidae, such as Eggplant latent viroid (ELVd), to mediate RNA circularization during viroid replication. Although ELVd does not replicate in E. coli, an ELVd precursor is efficiently transcribed by the E. coli RNA polymerase and processed by the embedded hammerhead ribozymes in bacterial cells, and the resulting monomers are circularized by the co-expressed tRNA ligase reaching a remarkable concentration. The insertion of an RNA of interest into the ELVd scaffold enables the production of tens of milligrams of the recombinant RNA per liter of bacterial culture in regular laboratory conditions. A main fraction of the RNA product is circular, a feature that facilitates the purification of the recombinant RNA to virtual homogeneity. In this protocol, a complementary DNA (cDNA) corresponding to the RNA of interest is inserted in a particular position of the ELVd cDNA in an expression plasmid that is used, along the plasmid to coexpress eggplant tRNA ligase, to transform E. coli. Co-expression of both molecules under the control of strong constitutive promoters leads to production of large amounts of the recombinant RNA. The recombinant RNA can be extracted from the bacterial cells and separated from the bulk of bacterial RNAs taking advantage of its circularity., This work was supported by grants BIO2017-83184-R and BIO2017-91865-EXP from the Spanish Ministerio de Ciencia, Innovacion y Universidades (co-financed FEDER funds).

A Fuzzy Order Promising Model With Non-Uniform Finished Goods

  • Grillo-Espinoza, Hanzel
  • Alemany Díaz, María Del Mar|||0000-0002-0992-8441
  • Ortiz Bas, Ángel|||0000-0001-5690-0807
  • Mula, Josefa|||0000-0002-8447-3387
[EN] In this paper, in order to reliably meet the homogeneity required by customers, a fuzzy model is proposed to support the promising process in LHP contexts after taking into account uncertainty in planned homoge- neous sublots. The fuzzy model is translated into an alpha- parametric equivalent crisp model. Here, it is important to highlight another important novelty of the paper related to the proposed methodology to analyse the suitability of the minimum degree of possibility (the a-cut), by an adapted TOPSIS-based fuzzy procedure. Finally, the experimental design, which is inspired in the ceramic sector, proves both the validity of the model and a better performance of the fuzzy model compared to the deterministic one, in several executions with forecasts of the real size of homogeneous sublots., This research is partly supported by: The Ministry of Science, Technology and Telecommunications of the of Costa Rica Government (MICITT), through the Programme of Innovation and Human Capital for Competitiveness (PINN)(Contract No. PED-019-2015-1); and the Spanish Ministry of Economy and Competitiveness Projects "Methods and models for operations planning and order management in supply chains characterised by uncertainty in production due to the lack of product uniformity'' (PLANGES-FHP) (Ref. DPI2011-23597) and "Operations design and Management of Global Supply Chains'' (GLOBOP) (Ref. DPI2012-38061-C02-01).

Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds

  • Sáez, Carlos
  • Garcia-Gomez, Juan M
[EN] Aim: The increasing availability of Big Biomedical Data is leading to large research data samples collected over long periods of time. We propose the analysis of the kinematics of data probability distributions over time towards the characterization of data temporal variability. Methods: First, we propose a kinematic model based on the estimation of a continuous data temporal trajectory, using Functional Data Analysis over the embedding of a non-parametric statistical manifold which points represent data temporal batches, the Information Geometric Temporal (IGT) plot. This model allows measuring the velocity and acceleration of data changes. Next, we propose a coordinate-free method to characterize the oriented seasonality of data based on the parallelism of lagged velocity vectors of the data trajectory throughout the IGT space, the Auto-Parallelism of Velocity Vectors (APVV) and APVVmap. Finally, we automatically explain the maximum variance components of the IGT space coordinates by means of correlating data points with known temporal factors from the domain application. Materials: Methods are evaluated on the US National Hospital Discharge Survey open dataset, consisting of 3,25M hospital discharges between 2000 and 2010. Results: Seasonal and abrupt behaviours were present on the estimated multivariate and univariate data trajectories. The kinematic analysis revealed seasonal effects and punctual increments in data celerity, the latter mainly related to abrupt changes in coding. The APVV and APVVmap revealed oriented seasonal changes on data trajectories. For most variables, their distributions tended to change to the same direction at a 12-month period, with a peak of change of directionality at mid and end of the year. Diagnosis and Procedure codes also included a 9-month periodic component. Kinematics and APVV methods were able to detect seasonal effects on extreme temporal subgrouped data, such as in Procedure code, where Fourier and autocorrelation methods were not able to. The automated explanation of IGT space coordinates was consistent with the results provided by the kinematic and seasonal analysis. Coordinates received different meanings according to the trajectory trend, seasonality and abrupt changes. Discussion: Treating data as a particle moving over time through a multidimensional probabilistic space and studying the kinematics of its trajectory has turned out to a new temporal variability methodology. Its results on the NHDS were aligned with the dataset and population descriptions found in the literature, contributing with a novel temporal variability characterization. We have demonstrated that the APVV and APVVmat are an appropriate tool for the coordinate-free and oriented analysis of trajectories or complex multivariate signals. Conclusion: The proposed methods comprise an exploratory methodology for the characterization of data temporal variability, what may be useful for a reliable reuse of Big Biomedical Data repositories acquired over long periods of time., This work was supported by UPV grant No. PAID-00-17, and projects DPI2016-80054-R and H2020-SC1-2016-CNECT No. 727560.

Experimental study and modeling of forward osmosis process for activated sludge concentration by using residual brine from a stuffed olive factory as draw solution

  • Santos-Sousa, Mayko Rannany
  • Lora-García, Jaime
  • López Pérez, Maria Fernanda|||0000-0002-5815-9212
[EN] In the present study, effect of external and internal concentration polarization (ECP and ICP), and reversible fouling on water flux behavior was evaluated for an activated sludge concentration process. A solution of activated sludge from the biological treatment unit of a wastewater treatment plant was used as a feed solution (FS), with an initial total suspended solids (TSS) concentration of 6198 mg/L. Residual brine from a stuffed olive factory was used as a draw solution (DS) because of its osmotic potential (equivalent to 1.2 M NaCl). This resulted in an increase in the initial FS concentration to around 16,850 mg/L. The experimental tests were carried out in a pilot plant with a flat FO membrane cell of 34 cm(2), and FS and DS flow rates of 2 L min(-1) and 0.5 L min(-1), respectively, at 20 +/- 0.3 degrees C. An active layer facing the FS orientation was selected because of the high TSS concentration of the feed. Permeate flux showed initial values around 13.5 +/- 0.5 L m(-2)/h for the first two hours of operation, but this gradually decreased to 5.3 +/- 0.5 L m(-2)/h after 24 h. By modeling permeate flux performance, the role that the feed and draw concentrations, membrane orientation, and membrane properties play in water flux were elucidated and linked to the prevalence of external and internal concentration polarization. Internal concentration polarization and fouling on the active layer were found to play a significant role in the reduction in the driving force for the chosen system conditions.

Quantifying the uncertainty of soil colour measurements with Munsell charts using a modified attribute agreement analysis

  • Marqués-Mateu, Ángel|||0000-0003-1343-103X
  • Moreno-Ramón, Héctor|||0000-0002-4080-0876
  • Balasch Parisi, Sebastià|||0000-0001-6632-2166
  • Ibañez Asensio, Sara|||0000-0002-2265-6655
[EN] The use of Munsell colour charts is the classical way of determining colour information in soil science. The procedure is well-known and consists of visually comparing soil samples with colour chips ontained in the charts. This visual approach has several drawbacks and although the chart-based procedure is routinely used, it is not easy to find systematic studies on the accuracy of this methodology. In this paper, we seek to gain insight into the strengths and weaknesses of using soil colour charts as a colour measurement device. The tool used to conduct our study is a modification to the attribute agreement analysis (AAA) method which consists of finding matches between colour standards and colour designations obtained by several appraisers. In the experiment, standards were obtained using a trichromatic colorimeter coupled to a computer program that implements the k nearest neighbour (k-NN) classification algorithm. In order to do the experiment, 276 soil samples were observed twice by four trained appraisers (2208 data records). The naïve count of matches across all the records in the dataset gave <5% of agreement for all three colour components Hue, Value and Chroma. The modified AAA criterion implemented in the study gave a clear increase in all indicators with values ranging from 82.2% to 100% in the agreement within appraisers, 39.5% in the agreement between appraisers, and 42.8% in the agreement of appraisers vs. standards. Results also show that users of the Munsell charts tend to mostly report correct Hues but higher Values and Chromas than true soil colours.

Optimal iterative methods for finding multiple roots of nonlinear equations using weight functions and dynamics

  • Zafar, Fiza
  • Cordero Barbero, Alicia|||0000-0002-7462-9173
  • Sultana, Sana
  • Torregrosa Sánchez, Juan Ramón|||0000-0002-9893-0761
[EN] In this paper, we propose a family of iterative methods for finding multiple roots, with known multiplicity, by means of the introduction of four univariate weight functions. With the help of these weight functions, that play an important role in the development of higher order convergent iterative techniques, we are able to construct three-point eight-order optimal multiple-root finders. Also, numerical experiments have been applied to a number of test equations for different special schemes from this family satisfying the conditions given in the convergence analysis. We have also compared the basins of attraction of some proposed and known methods in order to check the wideness of the sets of converging initial points for each problem. (C) 2018 Elsevier B.V. All rights reserved., This research was partially supported by Ministerio de Economia y Competitividad, Spain MTM2014-52016-C2-2-P, MTM2015-64013-P and Generalitat Valenciana, Spain PROMETEO/2016/089 and Schlumberger Foundation-Faculty for Future Program.

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