An Integrated AFS-Based SWOT Analysis Approach for Evaluation of Strategies Under MCDM Environment

2018 ◽  
Vol 1 (2) ◽  
pp. 129-147 ◽  
Author(s):  
Sunil Pratap Singh ◽  
Preetvanti Singh

This article outlines the development of a hybrid methodology aimed to help the policymakers in strategic planning. The proposed methodology integrates the axiomatic fuzzy set (AFS) theory, analytic hierarchy process (AHP), and the concept of simple additive weighting (SAW) to evaluate the strategies by strengths, weaknesses, opportunities, and threats (SWOT) analysis. The combination of AHP with SWOT yields analytically determined weights of the factors included in SWOT analysis. The SAW technique provides a flexible technique to obtain the final ranking of strategies in multi-criteria decision situations. In SAW, the strategies are described using the AFS-based AHP calculation framework for normalization and consistent ratings over the SWOT factors. The AFS theory is incorporated in the model to overcome the uncertainty and ambiguity in human decision-making processes. The proposed integrated methodology copes with the inconsistency caused by different types of fuzzy numbers and normalization methods required in solving multi-criteria decision-making (MCDM) problems. A real-world application is conducted to illustrate the utilization of the model to evaluate SWOT analysis and strategies for tourism development.

Author(s):  
Toshiyuki Yamashita ◽  

Analytic Hierarchy Process (AHP) is one of the most popular tools for supporting human decision making, and several fuzzy extensions of AHP have been proposed. The present study investigated psychological effects of both fuzzy ratings in fuzzy AHP and crisp feedback of the results from fuzzy AHP. The results suggest that fuzzy ratings could incorporate the fuzziness of a person’s feelings in his/her decision making. The results also suggest that crisp feedback, which exaggerates the superiority of only one alternative or the differences among the alternatives, could help a person to make his/her decision, especially when being deeply puzzled about his/her choice.


2022 ◽  
Vol 27 ◽  
pp. 837-853
Author(s):  
Emanuel Ario Bimo ◽  
Eka Prabawa ◽  
Esra Kriahanta Sembiring ◽  
Oktaheroe Ramsi ◽  
Sjafrie Sjamsoeddin ◽  
...  

Indonesia’s characteristics as an archipelagic state along with the increase of traditional and non-traditional threats in Indonesia require the ownership of military amphibious aircraft to oversee its maritime territories and perform logistics distribution to remote areas with minimum accessibility, especially its outermost islands. This study applied a combination of analytic hierarchy process (AHP), Political, Economic, Social, Techonology, Environment, and Legal (PESTEL) and Strength, Weakness, Opportunity, and Threat (SWOT) analysis to conduct a structured, systematic, measurable, and comprehensive decision-making process for selecting military amphibious aircraft and prescribe strategic recommendations on the acquisition plan. By using 3 criteria, 14 sub-criteria, and 3 alternative aircraft models, the results of AHP analysis showed that the Beriev Be-200 aircraft are the most preferred aircraft by the Indonesian users. The results of PESTEL-SWOT analysis show that good diplomatic relations between Indonesia and the manufacturer’s country of origin, users’ support to the plan, and user’s ability to adapt in operating and maintaining the aircraft support this decision. Meanwhile, limited fiscal capacity and domestic aircraft maintenance facilities/depots, as well as the risk of spare parts scarcity, have to be addressed for Indonesia to acquire its own military amphibious aircrafts.


Author(s):  
Witold Pedrycz

In spite of their striking diversity, numerous tasks and architectures of intelligent systems such as those permeating multivariable data analysis, decision-making processes along with their underlying models, recommender systems and others exhibit two evident commonalities. They promote (a) human centricity and (b) vigorously engage perceptions (rather than plain numeric entities) in the realization of the systems and their further usage. Information granules play a pivotal role in such settings. Granular Computing delivers a cohesive framework supporting a formation of information granules and facilitating their processing. The author exploits two essential concepts of Granular Computing. The first one deals with the construction of information granules. The second one helps endow constructs of intelligent systems with a much needed conceptual and modeling flexibility. The study elaborates in detail on the three representative studies. In the first study being focused on the Analytic Hierarchy Process (AHP) used in decision-making, the author shows how an optimal allocation of granularity helps improve the quality of the solution and facilitate collaborative activities in models of group decision-making. The second study is concerned with a granular interpretation of temporal data where the role of information granularity is profoundly visible when effectively supporting human centric description of relationships existing in data. The third study concerns a formation of granular logic descriptors on a basis of a family of logic descriptors.


2014 ◽  
Vol 15 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Michael Gogas ◽  
Konstantinos Papoutsis ◽  
Eftihia Nathanail

Abstract The management models pursued in logistics terminals determine their performance to a great extent. Terminals managed by public actors usually incorporate more social criteria into their decision-making processes. In addition, private management focuses on economic viability of the initiative. Decision-making is a complex process regardless the structure of management or the decision models useddue to the fact that a wide range of diverse criteria are embedded into this process. The objective of this paper it to determine a prioritization of a set of alternative options for investment projects which were suggested by port executives taking into account criteria and evaluation that have already validated by them. In order to perform the analysis a multi-criteria decision-making model was used: the Analytic Hierachy Process. The outcomes support a low-biased and efficient strategic planning through a balanced decision-making framework.


2019 ◽  
Vol 6 (1) ◽  
pp. 21-27
Author(s):  
Yunita Yunita

Business feasibility research is needed before business development team decided to start the business. SWOT analysis is an important part of it, since it described Strength – Weaknesses – Opportunity – Threats. However the result have no score, so its makes harder to consider each part in making decision. AHP (Analytic Hierarchy Process) is one of the method in decision tool to scoring, AHP carry the quantitative analysis of the problem. The combine of SWOT and AHP in feasibility research provide more reliable accurate in decision making. The aim of this paper is to analyze the business feasibility in opening learning centre at Balaraja based on SWOT and AHP method.


2013 ◽  
Vol 864-867 ◽  
pp. 2350-2356 ◽  
Author(s):  
Yan Li ◽  
Xiu Ming Jia ◽  
Peng Fei Xing

AHP, a simple and practical method for multi-criteria decision-making, is widely used in many decision-making processes of engineering projects. Owing to a large number of coal mining in Feng Zi Jian mining Area in Da Tong, it leads to many water environmental quality problems. According to the principle of AHP, it establishes hierarchical models, creates judgment matrix, counts its weight and maximum eigenvalue from the local to the whole, tests its consistent, analyzes the factors quantitatively which impact Feng Zi Jian mining Area water environmental quality, finally, and makes status evaluation for the quality of water environment of the mine. The results show that, AHP is intuitive, effective and has an objective reality during the process of calculating the weights of each factor. It achieves the results of the evaluation with satisfactory.


Author(s):  
Kadriye Burcu Yavuz Kumlu ◽  
Şule Tüdeş

In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.


Author(s):  
Rahimullaily Rahimullaily ◽  
Lakry Maltaf

AbstractThe survey was conducted in the Computer Laboratory of Information System of STMIK Indonesia of Padang. The Head of Laboratory determined some criteria in selecting of acceptance of labor assistant candidate. These criteria were the Candidate Application Form (FPC), the Competitive Achievement Index (GPA), the test score, the English test score, and the interview results. The head of the laboratory performed the process of calculating the criteria value by summing the value of each criterion in deciding who was accepted as a labor assistant. Who has the highest number of criteria, then he/she was selected as a laboratory assistant. This allows occurring the less ideal decision because of the basis of decision-making based on calculations not using special calculation method yet to decision making. Therefore, the researcher performed the process of calculating of the criteria value by using a matrix-based calculation method that was Simple Additive Weighting  (SAW) method and Analytic Hierarchy Process (AHP) method. The results of this study are expected to assist the Head of Labor in deciding the laboratory assistant based on the standard calculation as decision making. Keyword: SAW, AHP, Labor Assistant Candidate


2019 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Dani Anggoro ◽  
Nawindah Nawindah

Peningkatan daya serap Politeknik terhadap industri sangat dipengaruhi oleh lulusannya salah satunya dipengaruhi oleh pemilihan jurusan yang merupakan awal untuk menciptakan mahasiswa yang ahli dibidangnya. Penentuan kriteria, subkriteria dan alternatif menggunakan Cochran Q Test. Untuk mendapatkan bobot digunakan metode Analytic Hierarchy Process (AHP). Kriteria yaitu jurusan sekolah asal, subkriteria yaitu IPA, IPS, AK, PJ/PM. Kriteria hasil tes bakat minat yaitu sanguinis, melankolis, korelis dan plegmatis. Alternatif diantaranya Computerized Accounting (CA), Office Management (OM), Informatics Computer (IC). Pada pemilihan jurusan ini peneliti membandingkan metode yang sesuaidengan Fuzzy Multi Attribute Decision Making metode Analytic HierarchyProcess (AHP)- Simple Additive Weighting (SAW) dan metode Analytic Hierarchy VIKOR (Visekriterijumsko Kompromisno Rangiranje). Daya serap terhadap industri menggunakan metode deskriptif dengan alat ukur service quality hasilnya industri puas terhadap lulusan yang berkerja pada industri baik dari hardskill dan softskill. Metode Fuzzy AHP-SAW urut peringkat 1,2 dan 3 yaitu alternatif IC dengan nilai V1 1.76144, alternatif CA dengan nilai V2=1.56974, alternatif V3 dengan nilai OM =1.33618 . Menggunakan metode Fuzzy AHP-VIKOR dengan urut peringkat 1 sampai 3 yaitu alternatif IC dengan nilai Q1=0, alternatif CA dengan nilai Q2=1, alternatif OM dengan nilai Q3=1. Kedua metode tersebut dapat digunakan untuk rekomendasi pemilihan jurusan untuk politeknik LP3I kampus Karang Tengah.


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