scholarly journals Use of heurestic methods in marketing modeling

2021 ◽  
Vol 69 (2) ◽  
pp. 137-145
Author(s):  
N. Golda ◽  
I. Pinak ◽  
N. Polishchuk
Keyword(s):  
Economic Analysis ◽  
Evaluation Criteria ◽  
Heuristic Methods ◽  
Integrated Models ◽  
Media Planning ◽  
The Matrix ◽  
Sum Of Products ◽  
Marketing Analysis ◽  
Human Thinking ◽  
Mathematical Techniques

The features of the mechanism of heuristic methods application in marketing modeling are investigated in this paper. The essence of methods of economic analysis in advertising is revealed. Approaches to media planning using heuristic methods are analyzed in detail. Step-by-step evaluation matrix and expert preferences matrix for ranking the advertising evaluation criteria are proposed. The use of integrated models for advertising campaigns modeling is substantiated. Mathematical expressions for their application in the integrated models construction and the use of heuristic methods in media planning are presented. The matrix of expert advantages in terms of ranking the advertising evaluating criteria is proposed. The application of «Delphi» method for processing the results of the analysis of iterative opinions convergence is proposed. The results of modeling the options for evaluating the advertising media choice are presented. It is proved that in the market economy the importance of modeling marketing processes is growing and is that firstly it is necessary to test it on laboratory models, and then in the current market conditions to model the processes required for quality activities in the market. During the crisis most of the companies need strategic forecasting of their activities and for this purpose it is advisable to use methods of economic analysis. It is investigated that heuristic methods (methods of activating creativity, non-standard thinking) include the group of methods for generating solutions of problems. It is determined that the methods of heuristic search are diverse and include both methods of activating creativity and their modification and combination. It is proposed to conduct modeling using heuristic methods in several stages. For this purpose, step-by-step model including thirty steps is used. In this paper expert methods for marketing analysis are used, as they are a set of logical and mathematical techniques, as a result of which experts receive the information necessary for making informed rational management decisions. Both methods of non-directional search including methods of brainstorming, expert assessments, associations and analogies, control questions, collective notebook and directional search, including the algorithm for solving inventive problems are used in this investigation. Heuristic methods are used in marketing analysis because they involve the study and formalization of human thinking in solving various problems. It is proposed in this paper to improve the algorithm for choosing the optimal type of advertising, which is carried out in four stages and has clear heuristic basis. It is offered in this algorithm to include the definition of complex priority in the third stage making it possible to estimate qualitatively the selected options of advertising. The complex indicator for each type of advertising is defined as the sum of products of the relative priorities of advertising on the relative priorities of the criteria for their evaluation. The type of advertising receiving the highest priority can be considered as the best one for the company.

LATENT-SEMANTIC ANALYSIS, SOCIAL NETWORKS AND NON-STRUCTURED DATA: INTERACTION METHOD

2019 ◽  
Keyword(s):  
Social Networks ◽  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Statistical Processing ◽  
Unstructured Data ◽  
Average Score ◽  
Text Type ◽  
Internet Users ◽  
The Matrix ◽  
Human Thinking

This article examines the method of latent-semantic analysis, its advantages, disadvantages, and the possibility of further transformation for use in arrays of unstructured data, which make up most of the information that Internet users deal with. To extract context-dependent word meanings through the statistical processing of large sets of textual data, an LSA method is used, based on operations with numeric matrices of the word-text type, the rows of which correspond to words, and the columns of text units to texts. The integration of words into themes and the representation of text units in the theme space is accomplished by applying one of the matrix expansions to the matrix data: singular decomposition or factorization of nonnegative matrices. The results of LSA studies have shown that the content of the similarity of words and text is obtained in such a way that the results obtained closely coincide with human thinking. Based on the methods described above, the author has developed and proposed a new way of finding semantic links between unstructured data, namely, information on social networks. The method is based on latent-semantic and frequency analyzes and involves processing the search result received, splitting each remaining text (post) into separate words, each of which takes the round in n words right and left, counting the number of occurrences of each term, working with a pre-created semantic resource (dictionary, ontology, RDF schema, ...). The developed method and algorithm have been tested on six well-known social networks, the interaction of which occurs through the ARI of the respective social networks. The average score for author's results exceeded that of their own social network search. The results obtained in the course of this dissertation can be used in the development of recommendation, search and other systems related to the search, rubrication and filtering of information.

Concept of neuron types in gustation in the rat

1979 ◽  
Vol 42 (5) ◽  
pp. 1390-1409 ◽  
Author(s):  
D. C. Woolston ◽  
R. P. Erickson
Keyword(s):  
Dimensional Space ◽  
Correlation Coefficients ◽  
Hierarchical Cluster ◽  
Scaling Analysis ◽  
Peripheral Neurons ◽  
Neuron Response ◽  
The Matrix ◽  
Formal Taxonomy ◽  
Response Profiles ◽  
Mathematical Techniques

1. In taste neurophysiology, from Pfaffmann's (49, 50) pioneering work until the present, the possibility of types of neurons corresponding in some sense with the "primary" taste qualities of Henning (33) has been entertained: recently types of gustatory neurons in peripheral nerves have been established according to which of the four classical stimuli is the "best stimulus." However, considerable variation occurs in the response profiles within neurons classified as belonging to the same type. The purpose of this research is to determine, using mathematical techniques where appropriate, if the within-type variation is spurious or, instead, indicates the absence of a typology of taste neurons. The data used were counts of the spike discharges of 50 individual taste neurons in the nucleus of the solitary tract of the rat, evoked by 32 diverse chemical stimuli. 2. Using as input the matrix of Pearson r correlation coefficients calculated for the responses of all pairings of neurons to all stimuli, multidimensional scaling analysis revealed a two-dimensional space in which no clear groupings of neurons occurred. 3. In a hierarchical cluster analysis of the neuron response profile similarities, no evidence of grouping was found, suggesting a more-or-less continuous variation among neurons. 4. When the organization of the 32 stimuli utilized was studied by the same techniques, no clear evidence for stimulus types was found, although the possibility of two stimulus types--"sweet" and "nonsweet"--was raised. 5. Construction of a joint neuron-stimulus space supported a spatial model of taste neuron-stimulus interaction, while analysis of the number and pattern of high correlations among neurons--even after allowance for attenuation due to measurement error--failed to support the notion of types of taste neurons with identical response profiles. 6. Aspects of the logical role of types of neurons in gustatory coding were discussed, and the results and methods of the present investigation were related to classification schemes for neurons in general. Suggestions for a formal taxonomy of neurons were given. 7. It should be emphasized that the present study and conclusions are of second-order, CNS neurons, whereas the studies advocating the presence of neurons types were of peripheral neurons. Taken together, the implication to be drawn from these studies is that if neural types do exist in peripheral taste nerves, the typology is lost at the first synapse and is thus unavailable to the CNS for coding purposes, at least in the rat.

scholarly journals The research results of the competitive capacity of enterprises’ formation through marketing strategies

2021 ◽  
Vol 47 (1) ◽  
pp. 15-20
Author(s):  
I. Mosiichuk ◽  
K. Kashchuk
Keyword(s):  
Marketing Strategy ◽  
Product Line ◽  
Marketing Strategies ◽  
Matrix Analysis ◽  
Maximum Effect ◽  
Goods And Services ◽  
The Matrix ◽  
New Business ◽  
Marketing Analysis ◽  
Market Niche

The article points out that without a developed and functioning marketing strategy, an enterprise engaged in the production of any goods or services will not be able to withstand competition, to act effectively in accordance with market requirements. Creating a new business, merging and acquiring, developing a new market niche, narrowing or expanding the product line, choosing suppliers and partners – all these and many other decisions are made within the marketing strategy. Marketing itself is defined as the management of development, production and sale of goods and services demanded by society carries a systematic approach to solving problems of obtaining the maximum effect from sales with minimal and commercial risks. It is also stated that one of the most common methods is matrix analysis of the business portfolio. In order to assess the the company’s competitiveness, the author used the McKinsey matrix. The matrix built by the consulting firm for General Electric is considered in part. The characteristic and marketing alternatives of strategic zones on the given matrix are given. Formation peculiarities of competitive positions at researched enterprises in the kitchen market with the help of marketing strategies are revealed. As a result of the scientific researches problem’s analysis the author has come to a conclusion that both investigated firms-competitors are in a zone of selective development. While choosing a marketing strategy, it is necessary to focus on the main features of the marketing strategy, such as: long-term orientation; based on the results of strategic marketing analysis; a certain subordination in the hierarchy of enterprise strategies; the market orientation of activity (in relation to consumers and competitors) is defined, and also on need of the further scientific researches of a problem.

Mathematical Techniques for Economic Analysis.

Economica ◽  
1974 ◽  
Vol 41 (161) ◽  
pp. 102
Author(s):  
Stephen Glaister ◽  
Arthur Benavie
Keyword(s):  
Economic Analysis ◽  
Mathematical Techniques

Economic Analysis of Solar Energy/Air Compound Source Heat Pump System

2011 ◽  
Vol 130-134 ◽  
pp. 1605-1608
Author(s):  
Tao Liu ◽  
Zhi Gang Zhang ◽  
Wei Zhang
Keyword(s):  
Solar Energy ◽  
Economic Analysis ◽  
Heat Pump ◽  
Air Conditioning ◽  
Evaluation Criteria ◽  
System Model ◽  
Pump System ◽  
Heat Pump System ◽  
Heating Systems ◽  
Air Source Heat Pump

The foundation, principle and prior condition and engineering economic Evaluation Criteria of engineering economic analysis are introduced. The economy for a solar energy/air source heat pump system is analyzed. Through a single air-cooled heat pump system, air conditioning in summer + winter heating systems, solar / air source compound heat pump system model analysis and comparison of three systems, integrated initial investment and running costs of both, come to solar / air source compound heat pump system has certain advantages in economical efficiency.

scholarly journals Assessment of economic, thermal and hydraulic performances a corrugated helical heat exchanger filled with non-Newtonian nanofluid

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Ibrahim ◽  
Ebrahem A. Algehyne ◽  
Tareq Saeed ◽  
Abdallah S. Berrouk ◽  
Yu-Ming Chu ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Performance Evaluation ◽  
Heat Exchanger ◽  
Economic Analysis ◽  
Evaluation Criteria ◽  
Methyl Cellulose ◽  
Hydraulic Performance ◽  
Two Phase ◽  
Heat Transfer Efficiency ◽  
Helical Heat Exchanger

AbstractImproved heat transfer efficiency with considering economic analysis in heating systems is an interesting topic for researchers and scientists in recent years. This research investigates the heat transfer rate (HTR) and flow of non-Newtonian water-Carboxyl methyl cellulose (CMC) based Al2O3 nanofluid in a helical heat exchanger equipped with common and novel turbulators using two-phase model. The requirements for dimensions and cost reduction and also energy saving in thermal systems are the main goal of this study. According to gained results usage of corrugated channel in helical heat exchanger has a considerable influence on thermal and hydraulic performance evaluation criteria (THPEC) index of helical heat exchanger and can improve the THPEC index. Thus, Re = 5000 is obtained as an optimum value, in which the maximum THPEC value is achieved. As it is found in this paper, in case of using novel heat exchanger instead of the basic smooth system, the thermal properties (by considering Nusselt number) increases about 210%, the hydraulic performance (friction factor) reduces about 28%, performance evaluation criteria index increases about 57% and the material consumption (in case of similar THPEC) decreases about 31%. In another word, with considering economic analysis for the basic and novel system which has same efficiencies, the novel one has lower length and consequently 31% lower material.

A modified cut-set method for mechanical subassembly identification

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anil Kumar Gulivindala ◽  
M.V.A. Raju Bahubalendruni ◽  
Anil Kumar Inkulu ◽  
S.S. Vara Prasad Varupala ◽  
SankaranarayanaSamy K.
Keyword(s):  
Product Information ◽  
Influencing Factor ◽  
Evaluation Criteria ◽  
Development Stage ◽  
Assembly Sequence Planning ◽  
Improved Method ◽  
Content Type ◽  
Solution Generation ◽  
The Matrix ◽  
Cut Set

Purpose The purpose of this paper is to perform a comparative assessment on working of the existed subassembly identification (SI) methods, which are widely practiced during the product development stage and to propose an improved method for solving the SI problem in assembly sequence planning (ASP). Design/methodology/approach The cut-set method is found as a suitable method among various knowledge-based methods such as the theory of loops, theory of connectors and theory of clusters for the workability enhancement to meet the current requirements. Necessary product information is represented in the matrix format by replacing the traditional AND/OR graphs and the advanced predicates are included in the evaluation criteria. Findings The prominent methods in SI are followed a few of the predicates to avoid complexity in solution generation. The predicate consideration is found as the most influencing factor in eliminating the infeasible part combinations at SI. However, the quality of identified subassemblies without advanced predicates is not influencing the solution generation phase but practical applicability is affecting adversely. Originality/value The capability of performing SI by the cut-set method is improved to deal with the complex assembly configurations. The improved method is tested by applying on different assembly configurations and the effectiveness is compared with other existent methods of ASP along with the conventional method.

Modeling Principles of Decision Support Systems

2016 ◽  
pp. 122-179
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Finite Time ◽  
Support Systems ◽  
Optimization Techniques ◽  
The Matrix ◽  
Mathematical Techniques ◽  
Modeling Principles

In Chapter 5, some mathetical techniques that underpin decision support systems have been examined. The rationale behind reviewing the mathematical techniques was to facilitate understanding of their applications. This chapter will build on Chapter 5, to examine the modelling intentions behind some decisions in the domain of construction. Within finite time and resources, the matrix-based, optimization techniques and the sub-works chaining diagram (SWCD techniques will be further explored.

A Modified Fuzzy Hierarchical TOPSIS Model for Hotel Website Evaluation

2014 ◽  
pp. 263-283
Author(s):  
Shanshan Qi ◽  
Rob Law ◽  
Dimitrios Buhalis
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Fuzzy Model ◽  
Critical Issue ◽  
Evaluation Framework ◽  
Fuzzy Decision Making ◽  
Website Evaluation ◽  
The Matrix ◽  
Hotel Websites ◽  
Topsis Model

The performance of commercial websites is a critical issue that has a significant effect on consumers' online decision-making. This study develops and applies a fuzzy model to assess the performance of hotel websites. It presents a fuzzy decision-making approach to the evaluation of tourism website performance that integrates consumer perceptions with a hierarchical model. The model consists of a fuzzy multi-criteria procedure that weighs evaluation criteria in a hierarchy structure and defuzzifies the matrix in a simpler and more accurate way. The study's findings include a new website usefulness evaluation framework and a newly developed fuzzy hierarchical TOPSIS model. The results from applying this model indicate that the functionality and usability dimensions are equally important for hotel websites. The ranking of hotel website performance is listed in terms of usefulness, functionality, and usability.

scholarly journals The matrix model for assessing the investment attractiveness of industrial enterprises

2019 ◽  
pp. 176-178
Author(s):  
N. Steblyuk ◽  
V. Oparenko
Keyword(s):  
Matrix Model ◽  
Quantitative Characteristic ◽  
Evaluation Criteria ◽  
Industrial Enterprise ◽  
Complex Nature ◽  
Industrial Enterprises ◽  
The Matrix ◽  
Methodological Approaches ◽  
Property Condition ◽  
Quantitative Indicators

The article defines the role of evaluation of investment attractiveness of the enterprise. The main directions of methodological approaches to the assessment of investment attractiveness of the enterprise are given, their peculiarities and purpose are defined. The main disadvantages of methodological approaches to the assessment of investment attractiveness are revealed. It is proposed to use a matrix model to evaluate the investment attractiveness of an industrial enterprise. The necessity of using precisely a matrix model of complex nature to assess the investment attractiveness of industrial enterprises based on the use of quantitative and qualitative factors is substantiated. The main advantages of the matrix model of estimation of investment attractiveness of the enterprise are determined. A methodological toolkit for estimating the investment attractiveness of an industrial enterprise on the basis of a matrix model has been improved, taking into account the current state of domestic industrial enterprises and identifying problematic areas of activity. The matrix model has been supplemented with a matrix of quantitative indicators by a group of property condition indicators, which will allow the investor to take a more objective approach to assessing the investment attractiveness of an industrial enterprise. Quantitative indicators of investment attractiveness are grouped and their marginal evaluation criteria are given. The general index of quantitative characteristic of investment attractiveness of industrial enterprise and possible variants of estimation of its financial condition are determined. The qualitative indicators of estimation of investment attractiveness on the basis of the matrix model are given, they are given weighting coefficients and their boundary intervals are defined. On the basis of qualitative and quantitative indicators, the levels of the generalized index of investment attractiveness of an industrial enterprise according to the matrix model have been formed, which will allow to prove to the investor the expediency of investing in an industrial enterprise. Keywords investment; investment attractiveness; investment potential; enterprise; matrix model.

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