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A Hybrid Approach for Requirements Prioritization Using Logarithmic Fuzzy Trapezoidal Approach (LFTA) and Artificial Neural Network (ANN)

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Futuristic Trends in Network and Communication Technologies (FTNCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 958))

Abstract

Requirements prioritization (RP) is a crucial phase of requirements engineering (RE) to rank the requirements as per their priority weight in software development process. The existing technique like FAHP (Fuzzy analytical hierarchy process) is a very suitable methodology for requirements prioritization used in the fuzzy background suffers from a number of limitations like FAHP technique does not grant the accurate priority as per the client hope, create many conflicts in priority vectors and may outcome in dissimilar conclusion which are unacceptable for a fuzzy pair-wise comparison matrix. Fuzzy preference approach (FPA) and extent analysis (EA) based nonlinear techniques are efficient but create many issues like ambiguity, time complexity, scalability, provides negative degree of membership function, inconsistency and generates many non uniqueness optimal solution in fuzzy environment. In this research a hybrid approach for requirements prioritization using ‘LFTA with ANN’ proposed to overcome these issues providing the most client fulfillment with all technical characteristics. The case study performed on MATLAB software and result observed for a real life example ‘college selection’ with three selection criteria’s that illustrates the decision making result for requirements prioritization is better than previous techniques with higher priority. The proposed hybrid approach is oriented to resolve the classical gaps and meet up the client fulfillment of decision making in real applications. A hybrid approach is examined on real-life assignment for students (‘selection of best college’ based on three criteria’s), with existent colleges and college selection criteria’s are discussed in the fuzzy AHP.

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Authors and Affiliations

  1. Computer Engineering, NSIT (University of Delhi), New Delhi, 110078, India

    Yash Veer Singh, Bijendra Kumar & Deepak Sharma

  2. School of Computer and System Science, JNU, New Delhi, 110003, India

    Satish Chand

Authors
  1. Yash Veer Singh
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  2. Bijendra Kumar
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  3. Satish Chand
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  4. Deepak Sharma
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Corresponding author

Correspondence to Yash Veer Singh .

Editor information

Editors and Affiliations

  1. Jaypee University of Information Technology, Solan, India

    Pradeep Kumar Singh

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Department of Computer Sciences, Purdue University, West Lafayette, IN, USA

    Bharat Bhargava

  4. National Institute of Technology Kurukshetra, Kurukshetra, India

    Jitender Kumar Chhabra

  5. National Institute of Technology Hamirpur, Hamirpur, India

    Narottam Chand Kaushal

  6. Jaypee University of Information Technology, Solan, India

    Yugal Kumar

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Singh, Y.V., Kumar, B., Chand, S., Sharma, D. (2019). A Hybrid Approach for Requirements Prioritization Using Logarithmic Fuzzy Trapezoidal Approach (LFTA) and Artificial Neural Network (ANN). In: Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_26

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  • DOI: https://doi.org/10.1007/978-981-13-3804-5_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3803-8

  • Online ISBN: 978-981-13-3804-5

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