Use of Intuitionistic Fuzzy Numbers in Survey Sampling Analysis with Application in Electronic Data Interchange

The validity of survey sampling depends on how precise the data is. The validity reduces when questionnaire contains linguistic variables and respondent has to answer in zero or one. The ambiguity in the respondent’s mind can be minimized by getting a response in an intuitionistic fuzzy sense. In this study, we proposed intuitionistic fuzzy aggregative investment benefit rate to select the best manufacturing facility location, where respondents expressed both membership function and nonmembership function for linguistic variables, with some hesitancy level, and give significant improvement over the fuzzy assessment method. The proposed methodology is also verified at different hesitancy levels and recommended to use a small hesitancy level. Real-life example of the use of electronic data interchange (EDI) in Pakistan’s different fields, such as business, commerce, transport, airlines, warehousing, and logistic and delivery industry, is used to support the proposed methodology. Thus, an intuitionistic fuzzy rate reduces the cost, time, and effort of survey sampling instead of taking and analyzing responses from large samples.

Survey of potential root pathogens in softwood cuttings collected from Georgia blueberry nurseries

Survey sampling of 18 blueberry nurseries propagating softwood cuttings was conducted in 2007 and 2008 to determine which soilborne plant pathogens were most prevalent in commercial blueberry propagation systems in southern Georgia. Samples were collected four times: June (early), September (mid), and October (late) in the 2007 growing season, with additional sampling of overwintered cuttings in April 2008. This survey revealed that Calonectria ilicicola (Cylindrocladium parasiticum), causing Cylindrocladium root rot, is a primary pathogen of blueberry cuttings in southern Georgia. The organism was isolated consistently during all four survey dates with a cutting-level incidence of 3.6, 10.2, 36.4, and 14.3% in the first through fourth samplings, respectively. Rhizoctonia spp. were recovered less frequently and were only present during the first (10.9% cutting-level incidence), third (4.6%), and fourth survey dates (3.6%), while the Oomycetes Pythium and Phytophthora were detected only on the second survey date. Fusarium spp. were isolated commonly (29.1% incidence in the first, 12.2% in the second, 18.2% in the third, and 7.1% in the fourth sampling), but pathogenicity remains uncertain. Across all survey dates, Calonectria, Rhizoctonia, Oomycetes, and Fusarium were recovered at least once from 41.2, 17.6, 0.1, and 82.4% of nurseries surveyed, respectively. When nursery-level pathogen presence-absence data collected from this survey was analyzed in relation to a survey of production practices used by these same propagators, the practice of reusing growth media was found significantly associated with Calonectria presence.

Fast Compression of MCMC Output

We propose cube thinning, a novel method for compressing the output of an MCMC (Markov chain Monte Carlo) algorithm when control variates are available. It allows resampling of the initial MCMC sample (according to weights derived from control variates), while imposing equality constraints on the averages of these control variates, using the cube method (an approach that originates from survey sampling). The main advantage of cube thinning is that its complexity does not depend on the size of the compressed sample. This compares favourably to previous methods, such as Stein thinning, the complexity of which is quadratic in that quantity.

On the Strong Law of Large Numbers for Nonnegative Random Variables. With an Application in Survey Sampling

Strong laws of large numbers with arbitrary norming sequences for nonnegative not necessarily independent random variables are obtained. From these results we establish, among other things, stability results for weighted sums of nonnegative random variables. A survey sampling application is provided on strong consistency of the Horvitz--Thompson estimator and the ratio estimator.

Detection DETEKSI DAN IDENTIFIKASI KAPANG PADA PROSES BIODETERIORASI ARSIP FOTO MEMORY OF THE WORLD (MOW) RESTORASI CANDI BOROBUDUR

ABSTRACT This study aims to identify the genus of mold in the biodeterioration process of the photo archive of Memory of the World (MoW) restoration of Borobudur Temple and the potential for the enzymatic activity of these molds. The type of research method chosen is descriptive qualitative. Starting with survey sampling and sampling. Inoculation of fungi using the streak method on PDA medium. Mold identification based on macroscopic and microscopic observations of fungi. The results of characterization were then identified using the matching profile method using the mold identification reference book. The identification results resulted in six genera of contaminant molds in the biodeterioration of the MoW photo archive of the Borobudur Temple restoration. The genera identified included: Acremonium (69.66 %%), Penicillium (14.59%), Aspergillus (3.36%), Culvularia (2.24%) Fusarium (1.12%), and Pleurostomophora (1.12%) and some sterile mycelia. The types of biodeterioration in the photo collection include mold growth, discolored spots, peeling off layers, and damage to the substrate in the photo. Based on literature search, all mold genera found as the cause of biodeterioration has the potential to have proteinase, gelatinase, and cellulase enzymes. Keywords: Biodeterioration; Mold; Photograph; Memory of the World; Borobudur Temple

Domain studies with imperfect frame in large population

Existence of the frame is pre-requisite for any sample survey or census of a large population. Frames are quite often imperfect due to dynamic nature of sampling units. Frames become incomplete by the time actual survey and enumeration starts which affects the statistical results desired for the target population. In present study imperfection in the frame of large population arising due to qualitative change of units from one class to other have been considered. We have considered incomplete frame assuming the nature of units following dynamic change from class one to other follow a probability distribution function. Suitable estimator for proportion of units belonging to a particular domain and unbiased estimate of target population for a class have been proposed along with its estimate of variance. The estimates are evolved so as to eliminate error caused due to deviation of sampled population from target population. The paper deals with interesting problem arising in survey sampling and is useful in practice.

Persuasive Communication And Work Effectiveness Enhancing Performance Of Employees In DPRD Merangin Regency

Persuasive communication and good work effectiveness could enhance employee performance. The purpose of this studied to determine and analyze variables of the persuasive communication and work effectiveness that affect the performance of the DPRD office staff Merangin Regency. This survey used the survey sampling of 45 office staff with multiple Linear Regression. The results that partially and simultaneously showed the influence of persuasive communication and work effectiveness variables on employee performance and the persuasive communication variables had more enhancing than work effectiveness variables. The value of R is 0.754 or 75.4% further research can examine qualitative methods or mixed methods or can use other variables so that employee performance can continue to be improved.