scholarly journals FUZZY ANALITIC NETWORK PROCESS BASED MULTI CRITERIA DECISION MAKING METHODOLOGY FOR A FAMILY AUTOMOBILE PURCHASING DECISION

2013 ◽  
Vol 24 (2) ◽  
pp. 167 ◽  
Author(s):  
A Yesim Yayla ◽  
A Yildiz
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Purchasing Decision ◽  
Network Process ◽  
Family Automobile

scholarly journals GREENHOUSE LOCATING BASED ON ANP-COPRAS-G METHODS – AN EMPIRICAL STUDY BASED ON IRAN

2012 ◽  
Vol 16 (2) ◽  
pp. 188-200 ◽  
Author(s):  
Nahid Rezaeiniya ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Regional Economy ◽  
Raw Materials ◽  
Multi Criteria Decision Making ◽  
Decision Making Problem ◽  
Network Process ◽  
Interdependent Relationships ◽  
Research Analysis ◽  
Selection Of

The selection of a location among alternative locations is a multi criteria decision-making problem including both quantitative and qualitative criteria. In this paper, we describe the research and development of hybrid MCDM methods for greenhouse locating. Selection of the most appropriate location for investor is an important problem which requires assessment and analysis of several factors. The paper clarifies the structure of important criteria in greenhouse locating. The six factors identified were: labor, government, environment, physical condition, regional economy and raw materials. In this research, analysis network process (ANP) is applied to find the relative weights among the criteria and to emphasize the interdependent relationships, thus increasing the accuracy of our results COPRAS-G method is applied to rank for five regions in Amol city, in Iran. This article can be a guideline for investors to select the best location for greenhouses.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2020 ◽  
pp. 356-374
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

Multi-Criteria Decision Making: A Systematic Review

2021 ◽  
Vol 14 ◽  
Author(s):  
Nayli Adriana Azhar ◽  
Nurul Asyikin Mohamed Radzi ◽  
Wan Siti Halimatul Munirah Wan Ahmad
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Complex Problems ◽  
Current Implementation ◽  
Network Process ◽  
Complete Survey ◽  
Hierarchy Process

: Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.

scholarly journals Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes

2020 ◽  
Vol 10 (2) ◽  
pp. 603 ◽  
Author(s):  
Ming-Yuan Hsieh
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Cognitive Theory ◽  
Personal Characteristics ◽  
Financial Status ◽  
Purchasing Decision ◽  
Network Process ◽  
Decision Making Processes ◽  
Technological Acceptance Model ◽  
Acceptance Model

This research has interdisciplinarily employed the “SoLoMo” concept of Intern of Things (IoT) technology, Social Cognitive Theory and the Technological Acceptance Model (TAM) into the hierarchical Analytical Network Process (ANP) model of qualitative analysis in order to concretively construct the most comprehensive IoT technology model in the purchasing decision-making process of the omnichannel e-commerce model. Statistically, this research not only employed the Factor Analysis (FA) approach of quantitative analysis for systematically assaying the data results from the dispensation of large-scale questionnaires to refine the commonality of each sub-criterion with higher research representativeness and validity but it also applied the Fuzzy Set Theory (FST) and Grey Relation Analysis (GRA) methods of qualitative analyses for in-depth analytically evaluate the data results from the operation of expert’s questionnaires to refine the measured consequences of the ANP model with higher research accuracy and reliability. Conclusively, the “Purchasing Original Intentions” has been the most critical purchasing factors in the omnichannel e-commerce purchasing decision-making processes which means current omnichannel e-commerce consumers have commenced to firstly and rationally think over before making purchasing decisions and actions without any irrational consumptions. Conclusively, “Purchasing Importance-Purchasing Importance (PI)”, “Purchasing Financial Status-Purchasing Financial Status (PFS)” and “Purchaser’s Personality-Purchaser’s Personality (PP)” were the most potential IoT technology determinants in the omnichannel e-commerce purchasing decision-making processes because (1) omnichannel e-commerce consumers have been rationally focused on what they demand without traditional emotional purchasing consumptions, (2) omnichannel e-commerce consumers have rationally considered their financial resources without impulsive purchasing consumptions and (3) omnichannel e-commerce consumers have rationally respected their personal characteristics and individual value without blindly purchasing consumptions.

scholarly journals AN INTEGRATED PICTURE FUZZY ANP-TODIM MULTI-CRITERIA DECISION-MAKING APPROACH FOR TOURISM ATTRACTION RECOMMENDATION

2019 ◽  
Vol 26 (2) ◽  
pp. 331-354 ◽  
Author(s):  
Chao Tian ◽  
Juan-juan Peng
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Distance Measure ◽  
Comparative Method ◽  
Analytic Network Process ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Fuzzy Distance ◽  
Network Process ◽  
Ranking Of Alternatives

In this paper, the picture fuzzy score and accuracy function are first defined. Then, a corresponding comparative method between two picture fuzzy numbers (PFNs) is developed. Next, a novel normalized picture fuzzy distance measure between two PFNs is disclosed, and part of the characteristics of the proposed distance measure are discussed. Afterwards, on the basis of the analytic network process (ANP) and an Acronym in Portuguese of Interactive and Multi-Criteria Decision-Making (TODIM) methods, an integrated ANP-TODIM approach is developed to resolve multi-criteria decision-making (MCDM) where the weights of the criteria are fully unknown. We use ANP approach to decide the weights of criteria on the basis of expert mean assessment method, and TODIM is utilized to obtain the ranking of alternatives. Finally, an illustrative example of an optimal tourism attraction recommendation is provided to testify applicability of the developed decision-making method and prove that its results are effective and reasonable.

scholarly journals A hybrid multi-criteria decision making model for the vehicle service center selection with the aim to increase the vehicle fleet energy efficiency

2018 ◽  
Vol 22 (3) ◽  
pp. 1549-1561 ◽  
Author(s):  
Davor Vujanovic ◽  
Vladimir Momcilovic ◽  
Milos Vasic
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Maintenance Planning ◽  
Proposed Model ◽  
Network Process ◽  
Maintenance Work ◽  
The Right ◽  
Decision Making Model

In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies? goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies? goal.

Applying the Fuzzy Analytical Network Process in Digital Marketing

2016 ◽  
pp. 202-232 ◽  
Author(s):  
Patrick Kaltenrieder ◽  
Sara D'Onofrio ◽  
Edy Portmann
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Overload ◽  
Digital Marketing ◽  
Multi Criteria Decision Making ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
The Web ◽  
Advanced Visualization

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.

Applying the Fuzzy Analytical Network Process in Digital Marketing

Big Data ◽  
2016 ◽  
pp. 1159-1188
Author(s):  
Patrick Kaltenrieder ◽  
Sara D'Onofrio ◽  
Edy Portmann
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Overload ◽  
Digital Marketing ◽  
Multi Criteria Decision Making ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
The Web ◽  
Advanced Visualization

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.

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