Best Combination Of Attributes Research Articles

Analysis of Awareness, Perception and Preference of Pharmaceutical Companies to the Use of Phenol from Indigenous Vegetables in Lagos State, Nigeria

Indigenous vegetables in Nigeria are under-exploited and under-utilized because of low information and awareness of specific nutrients and phytochemicals in some indigenous vegetables in which Nigeria is richly endowed with. This research analysed the level of awareness of pharmaceutical companies to phenol from indigenous vegetable and the preference, attitude and perception of pharmaceutical companies towards the use of phenol from indigenous vegetables. Data were collected with the aid of a well-structured questionnaire from 25 Pharmaceutical locally producing companies in Lagos State using purposive sampling technique. Descriptive statistics and conjoint analysis were used to analyze the data. The result of the descriptive statistics showed that 44% of the respondents were very aware that phenol is present in indigenous vegetable and 24% were moderately aware of the presence, extraction and use of phenol from vegetable to make drugs. The result also showed that 32% perceived the price of phenol from vegetable to be expensive, 40% perceived the quality to be fair, 40% felt effectiveness was moderate, 64% and 44% perceived the quantity to be small and cheaper respectively compared to the other sources of phenol. However, in terms of their attitude to phenol from indigenous vegetable, 88% of the respondents do not use phenol from indigenous vegetables and 12% of them make use of phenol from indigenous vegetable. The conjoint analysis showed that the best combination of attributes most preferred was cheap price (0.733), good quality (1.227), high effectiveness (0.173) and large quantity (-0.029). It was recommended that further research work should be carried on how improve quantity and quality of phenol from indigenous vegetable.

Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification

Machine learning (ML) algorithms, such as principal component analysis, independent component analysis, self-organizing maps, and artificial neural networks, have been used by geoscientists to not only accelerate the interpretation of their data, but also to provide a more quantitative estimate of the likelihood that any voxel belongs to a given facies. Identifying the best combination of attributes needed to perform either supervised or unsupervised ML tasks continues to be the most-asked question by interpreters. In the past decades, stepwise regression and genetic algorithms have been used together with supervised learning algorithms to select the best number and combination of attributes. For reasons of computational efficiency, these techniques do not test all of the seismic attribute combinations, potentially leading to a suboptimal classification. In this study, we have developed an exhaustive probabilistic neural network (PNN) algorithm that exploits the PNN’s capacity in exploring nonlinear relationships to obtain the optimal attribute subset that best differentiates target seismic facies of interest. We determine the efficacy of our proposed workflow in differentiating salt from nonsalt seismic facies in a Eugene Island seismic survey, offshore Louisiana. We find that from seven input candidate attributes, the exhaustive PNN is capable of removing irrelevant attributes by selecting a smaller subset of four seismic attributes. The enhanced classification using fewer attributes also reduces the computational cost. We then use the resulting facies probability volumes to construct the 3D distribution of the salt diapir geobodies embedded in a stratigraphic matrix.

PREFERENSI KONSUMEN TERHADAP MEDIA SOSIAL DALAM MENCARI DAN MEMBELI PRODUK SECARA ONLINE

When consumers buy goods, they certainly go through the information search stages. Through the internet, it would be easier for consumers to find references. As a media that is frequently visited, social media can be one of the consumer's references. Several social media give information the products what consumer is going to buy. The purpose of this study is to get the best combination of attributes chosen by consumers in finding and buying goods using social media. This study uses Conjoint Analysis, which is one of the techniques in multivariate analysis that is used to understand how consumers prefer the value of a product by combining separate benefits that exist from each attribute of the product. From the research, it was found that the combination of chat feature, social media accounts have more than 1000 follower, safe shopping and easy search for the desired items were ranked first as the most considered combination by respondents. Keywords : Social Media, Consumers Preferences, Conjoint Analysis

Graph Theory Matrix Approach – A Review

Background: Graph theory matrix approach as a decision making tool. Methods: Graph theory matrix approach for determining the permanent index in comparing and ranking the alternatives in decision making. Findings: The best combination of attributes that influence the system can be found out using this combinatorial approach. Application: Decision making can be done appropriately using this approach.

A fuzzy conjoint analysis approach for evaluating credit card services: A case study of Iranian bank

Nowadays, the objective of all organizations is to achieve higher market share by recognizing the customer requirements and try to offer the products or services according to these requirements. Financial and credit institutes like banks try to follow these objectives as well. Conjoint analysis (CA) method is one of the statistical methods which widely used in the marketing problems like prediction of customer behaviors and evaluation of customers’ utility of a special service or product. In spite of other methods directly evaluating product preferences, CA helps the organizations to measure the degree of importance of each product or service from general assessment of that product or service by an analytical approach. One of the services of banks is presenting the credit cards to their customers. In Iran, credit cards have been introduced to customers in the recent years. Regarding to improving market of credit cards in Iran, research on identification of Iranian customers’ expectations and preferences in use of credit cards is so necessary. The aim of this research is using fuzzy CA method for specification and selection of the best combination of attributes and levels of credit cards in an actual case “Eghtesad-Novin Bank” in Iran according to customers’ opinions. Key words: Conjoint analysis, Fuzzy sets, credit cards.

Combining Revealed and Stated Data to Examine Housing Decisions Using Discrete Choice Analysis

This paper uses stated preference and revealed preference data, separately and jointly, to examine individuals, housing choices. In particular, it combines an established revealed preference approach, discrete choice analysis of actual housing purchases, and a relatively new stated preference approach, choice-based conjoint analysis of hypothetical housing purchases, to provide us with a better understanding of the factors driving housing decisions. These methods are appropriately combined since they reflect the same decision process: households select the dwelling that provides the best combination of attributes from the feasible set of alternatives. In total, this paper analyzes three data sets: only actual housing purchases, only hypothetical housing purchases, and both types of purchases combined. Analysis finds that actual and hypothetical housing purchases are similar decision processes with respect to some attributes, yet are dissimilar with respect to other attributes. Nevertheless, combining the two types of data improves identification of both categories of attributes. Journal of Economic Literature Classification Number: R21.

Native Colonizing Species and Degraded Land Restoration in La Gran Sabana, Venezuela

AbstractWe evaluated the ecological and reproductive characteristics of plant species occurring in severely disturbed areas that were revegetated with exotic grasses. We identified those species with the best combination of attributes that increase their probability of success in degraded lands. Fifteen degraded areas were studied in two different bioclimatic regions, a high premontane humid bioclimate and a low premontane humid bioclimate. The frequency of native colonizing species and the presence of arbuscular mycorrhizal colonization in their roots were evaluated. The sexual and breeding system, pollination mode, fruit set, and dispersal syndrome of ten of the most frequent colonizing species were also studied. The floristic survey of the colonizing species revealed a similarity to the reported flora of the treeless savannas that are dominant in the region. Bioclimatic conditions prevailing in the degraded lands seem to be an important factor for the presence of colonizing species and for species richness. All colonizing species studied were mycorrhizal, and for this reason the restoration program in these degraded areas should take mycorrhizae into account, reintroducing them or manipulating the soils to increase the mycorrhizal inoculum. We suggest Scleria cyperina and Trachypogon plumosus to start or promote the natural succession in the degraded areas from La Gran Sabana. Because their frequency is high and their reproductive system is less dependent on biotic factors, these species stand out in the studied areas.

PERFORMANCE OF WHITE CLOVER AND LOTUS CULTIVARS AND LINES ON THE EAST OTAGO PLATEAU

The performance of 55 Lotus pedunculatus Cav. and 33 Trifolium repens L lines of diverse type and origin was assessed on acid, infertile soils on the East Otago Plateau at 3 sites representing an altitudinal sequence of increasing severity of climate. Among the L pedunculatus lines, a diploid NZ selection 04701 showed the best combination of attributes with high herbage yields, moderate rhizome spread at the highest sites and considerable tolerance to out-of-season frosting. G4701, its tetraploid equivalent G4702 and a selection from within the cultivar 'Grasslands Maku' for rapid germination at low temperatures, produced the highest yields averaged over the 3 sites in the altiludinal sequence. The use of these lines is likely to enhance the role of lotus in tussock grassland pasture systems. Within white clover, a hybrid line C5413. which has been.included in the pre-release Southern white clover cultivar G26. performed well, indicating that it has wide adaptability for both fertile lowland and low-fertility hill and high country situations on the southern South Island. The Southland Selection C5844, which is derived from Southland ecotypes, had the best combination of attributes for the East Otago Plateau. This selection merits serious consideration for release as a 'Tahora-like' cultivar for moist, infertile hill and high country in the southern South Island. Keywords: Trifolium repens, Lotus pedunculatus. evaluation, herbage yield, spread, dominance, frost damage, South Island.