scholarly journals Fuzzy expert marketing-mix model

2012 ◽  
Vol 51 (No. 2) ◽  
pp. 69-79 ◽  
Author(s):  
S. Aly ◽  
I. Vrana
Keyword(s):  
Business Environment ◽  
Marketing Mix ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Business Environments ◽  
Marketing Decision ◽  
Decision Variables ◽  
Proposed Model ◽  
Decision Making System ◽  
Agricultural Business

A marketing-mix setting model is presented. The all four P’s are integrated and identified. The model makes strong utilization of relevant experts’ knowledge and expertise through a fuzzy-decision-making system tailored to dynamically set the marketing-mix periodically in response to changing business environment. Quantitative, qualitative, uncertain, and vague variables are handled necessary to provide a realistic solution. The proposed model is particularly applicable to changing business environments that are full of such qualitative, stochastic, uncertain, and vague variables as in the case of agricultural business (e.g., agro-food companies, fertilizers and agro-chemical producers), and generally applicable to any other business sector. The method can be considered as the fuzzy-expert system for determining values of the marketing decision variables. 

scholarly journals Fuzzy logic identifier of the short-term objectives

2012 ◽  
Vol 51 (No. 1) ◽  
pp. 32-40
Author(s):  
S. Aly ◽  
I. Vrana
Keyword(s):  
Machine Tools ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Short Term ◽  
Industrial Firms ◽  
New Science ◽  
Current Period ◽  
Decision Making System ◽  
Agricultural Business ◽  
Term Objective

This article presents a new science-based approach which identifies the most effective current-period short-term objective of an enterprise, which is usually set based on the pure judgment of top management members or enterprise’s experts. The method is based on fuzzy-decision-making system and makes robust utilization of enterprise’s experts’ knowledge, intuition and expertise. A simple illustrative example is provided to demonstrate how the method can be efficiently and effectively used in practice. The proposed approach can be used to identify the short-term objective of any profit-making-enterprise, and is specially applicable to business industries that are full of qualitative, stochastic, uncertain, and vague variables such as the case in agricultural business (e.g., agro-food companies, fertilizers, and agro-chemical producers), and industrial firms (e.g., electronics, home appliances, machine tools companies ... etc.), and is generally applicable to any other business sector.

scholarly journals FUZZY SUBJECTIVE EVALUATION OF ASIA PACIFIC AIRPORT SERVICES

2010 ◽  
Author(s):  
Ku Ruhana Ku-Mahamud ◽  
Mahmod Othman
Keyword(s):  
Subjective Evaluation ◽  
Triangular Fuzzy Number ◽  
Decision Makers ◽  
Approximate Reasoning ◽  
Asia Pacific ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Proposed Model ◽  
Human Thinking ◽  
Decision Making Model

This paper presents a fuzzy decision-making model to determine the ranking of fourteen Asia Pacific airports based on the services provided to passengers. Airport services were represented by six attributes namely comfort, processing time, convenience, courtesy of staff, information visibility and security. Data for the attributes given by travel experts are in the triangular fuzzy number form. Based on fuzzy set and approximate reasoning, the model allows decision makers to make the best choice in accordance with human thinking and reasoning processes. The use of fuzzy rules which are extracted directly from the input data in making evaluation, contributes to a better decision and is less dependent on experts. Experimental results show that the proposed model is comparable to previous studies. The model is suitable for various fuzzy environments.  

scholarly journals A FUZZY AUTOMATIC CAR DETECTION METHOD BASED ON HIGH RESOLUTION SATELLITE IMAGERY AND GEODESIC MORPHOLOGY

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 299-303
Author(s):  
N. Zarrinpanjeh ◽  
F. Dadrassjavan
Keyword(s):  
Rural Areas ◽  
Detection Method ◽  
Traffic Monitoring ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
The Road ◽  
Car Detection ◽  
Decision Making System ◽  
High Resolution Satellite Imagery

Automatic car detection and recognition from aerial and satellite images is mostly practiced for the purpose of easy and fast traffic monitoring in cities and rural areas where direct approaches are proved to be costly and inefficient. Towards the goal of automatic car detection and in parallel with many other published solutions, in this paper, morphological operators and specifically Geodesic dilation are studied and applied on GeoEye-1 images to extract car items in accordance with available vector maps. The results of Geodesic dilation are then segmented and labeled to generate primitive car items to be introduced to a fuzzy decision making system, to be verified. The verification is performed inspecting major and minor axes of each region and the orientations of the cars with respect to the road direction. The proposed method is implemented and tested using GeoEye-1 pansharpen imagery. Generating the results it is observed that the proposed method is successful according to overall accuracy of 83%. It is also concluded that the results are sensitive to the quality of available vector map and to overcome the shortcomings of this method, it is recommended to consider spectral information in the process of hypothesis verification.

A Fuzzy Decision-Making System for the Impact of Pesticides Applied in Agricultural Fields on Human Health

2020 ◽  
Vol 9 (3) ◽  
pp. 42-62
Author(s):  
Karthik S. ◽  
Saroj Kumar Dash ◽  
Punithavelan N.
Keyword(s):  
Decision Making ◽  
Human Health ◽  
Health Hazards ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Agricultural Lands ◽  
Linguistic Terms ◽  
Decision Making System ◽  
Agricultural Yield ◽  
The Impact

Farmers are widely applying chemical pesticides to the agricultural lands to kill weeds to reduce crop losses and to prevent diseases created by insects. By applying pesticides to the lands, typically have greater agricultural yield. As pesticides have toxic ingredients, they can create so many health problems to humans and will degrade the environment gradually. Since each pesticide is linked to some health hazards when the composition of the pesticides exceeds its limits, uncertainty arises in determining the human health hazards. Hence, fuzzy logic-based decision-making model is designed to diagnose the human health hazards. In the model, the linguistic terms are used to represent the association between pesticides and human health hazards with the aid of chemists and physicians. Fuzzy numbers are used to represent the values for the linguistic terms. Therefore, the intent of the paper is to analyze the human health hazards induced by applying different pesticides in the agricultural lands through the proposed fuzzy decision-making system.

Research on a Fuzzy Choice Function in Multi-Objective Fuzzy Decision

2013 ◽  
Vol 347-350 ◽  
pp. 3-6
Author(s):  
Jian Xiong Long
Keyword(s):  
Decision Making ◽  
Choice Function ◽  
Evaluation Process ◽  
Fuzzy Decision Making ◽  
Fuzzy Evaluation ◽  
Fuzzy Decision ◽  
Multi Objective ◽  
Decision Making System ◽  
Effective Decision Making ◽  
Fuzzy Choice Function

In the multi-objective fuzzy decision-making system, the decision-making problems will be encountered in the multi-objective and multi-evaluation process, so that it does not achieve effective decision-making results. How to solve this multi-objective decision making problems, a fuzzy choice function is proposed, that will be proved an effective method of fuzzy evaluation. The multi-objective decision making problem in the selection and evaluation is effectively solved in a decision-making system by using of the fuzzy choice function.

Importance of CEM in CRM-CL framework

2016 ◽  
Vol 11 (1) ◽  
pp. 91-115 ◽  
Author(s):  
Jagwinder Singh ◽  
Shivani Saini
Keyword(s):  
Customer Relationship Management ◽  
Relationship Management ◽  
Business Environment ◽  
Positive Influence ◽  
Customer Relationship ◽  
Content Type ◽  
Business Environments ◽  
Customer Experience Management ◽  
Proposed Model

Purpose – The purpose of this paper is to propose a model to understand the role of customer relationship management efforts in building, sustaining and enhancing customer loyalty (CL). Design/methodology/approach – This paper reviews extant literature in customer relationship management (CRM), customer experience management (CEM) and CL, with a particular emphasis on exploring the relationships between these proposed domains. Findings – The CRM efforts, customer acquisition, retention and experience, are suggested to have positive influence on attitudinal and behavioural loyalty. A model for testing the associations of customer relationship efforts to various forms of CL, including the satisfaction, trust and commitment as mediators in CRM-CL link are proposed. Research limitations/implications – This paper represents a first attempt to build and propose a conceptual framework of CRM–CL. This is an indicative research than a conclusive one. Therefore, research implications are to perform the empirical testing of model in different business environments. Practical implications – This application of proposed model in a business environment will be helpful for the marketing practitioners to well understand the customers’ changing expectations as well as to prioritize the marketing functions. The emphasis and right calculation about the acquisition, retention and experience decisions would be helpful to marketers to know the expected profitability of customers. Originality/value – This is the first paper to provide a comprehensive integrated model of CRM and CL to understand the effects of CRM efforts on various forms of CL.

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